Triple
T7081050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of China Army |
E164954
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ROCA
ROCA is the acronym for the Republic of China Army, the land warfare branch of Taiwan’s armed forces.
|
E641216
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ROCA | Statement: [Republic of China Army, shortName, ROCA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROCA Context triple: [Republic of China Army, shortName, ROCA]
-
A.
RC-6
RC-6 is a mid-size fastback sedan produced by the Chinese automaker Baojun, known for its elevated ride height and crossover-inspired styling.
-
B.
RC6
RC6 is a symmetric block cipher designed as a candidate for the Advanced Encryption Standard (AES), known for its simplicity, efficiency, and parameterized structure.
-
C.
RSA Fellowship
The RSA Fellowship is a global community of accomplished individuals from diverse fields who collaborate to address social challenges and promote innovative solutions for the public good.
-
D.
RC2
RC2 is a symmetric-key block cipher designed by cryptographer Ronald L. Rivest and widely used in early Internet security applications.
-
E.
RSA Archer
RSA Archer is an integrated risk management and governance, risk, and compliance (GRC) software platform used by organizations to identify, assess, and manage enterprise risks and regulatory obligations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ROCA Triple: [Republic of China Army, shortName, ROCA]
Generated description
ROCA is the acronym for the Republic of China Army, the land warfare branch of Taiwan’s armed forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROCA Target entity description: ROCA is the acronym for the Republic of China Army, the land warfare branch of Taiwan’s armed forces.
-
A.
RC-6
RC-6 is a mid-size fastback sedan produced by the Chinese automaker Baojun, known for its elevated ride height and crossover-inspired styling.
-
B.
RC6
RC6 is a symmetric block cipher designed as a candidate for the Advanced Encryption Standard (AES), known for its simplicity, efficiency, and parameterized structure.
-
C.
RSA Fellowship
The RSA Fellowship is a global community of accomplished individuals from diverse fields who collaborate to address social challenges and promote innovative solutions for the public good.
-
D.
RC2
RC2 is a symmetric-key block cipher designed by cryptographer Ronald L. Rivest and widely used in early Internet security applications.
-
E.
RSA Archer
RSA Archer is an integrated risk management and governance, risk, and compliance (GRC) software platform used by organizations to identify, assess, and manage enterprise risks and regulatory obligations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f1f5748190b214856bcfc70d81 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79477a79c81909b51175a24d17142 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c798cd9e4c8190a9dc1176d60d2cf6 |
completed | March 28, 2026, 9:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c799fae8608190b0cd94d59ab589a4 |
completed | March 28, 2026, 9:06 a.m. |
Created at: March 27, 2026, 2:40 p.m.