Triple
T7442955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Singapore Navy |
E171798
|
entity |
| Predicate | hasTrainingFacility |
P2858
|
FINISHED |
| Object |
RSS Panglima
RSS Panglima is a Republic of Singapore Navy training vessel used primarily for the instruction and development of naval personnel.
|
E665546
|
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: RSS Panglima | Statement: [Republic of Singapore Navy, hasTrainingFacility, RSS Panglima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSS Panglima Context triple: [Republic of Singapore Navy, hasTrainingFacility, RSS Panglima]
-
A.
RKPK
RKPK is the ICAO airport code for Gimhae International Airport, serving the Busan region in South Korea.
-
B.
RPR-PARNAS
RPR-PARNAS was a liberal, pro-democracy opposition party in Russia known for its criticism of Vladimir Putin’s government and advocacy of political reforms.
-
C.
Sambali
Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
-
D.
RMAF
RMAF is the acronym commonly used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
-
E.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
- 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: RSS Panglima Triple: [Republic of Singapore Navy, hasTrainingFacility, RSS Panglima]
Generated description
RSS Panglima is a Republic of Singapore Navy training vessel used primarily for the instruction and development of naval personnel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSS Panglima Target entity description: RSS Panglima is a Republic of Singapore Navy training vessel used primarily for the instruction and development of naval personnel.
-
A.
RKPK
RKPK is the ICAO airport code for Gimhae International Airport, serving the Busan region in South Korea.
-
B.
RPR-PARNAS
RPR-PARNAS was a liberal, pro-democracy opposition party in Russia known for its criticism of Vladimir Putin’s government and advocacy of political reforms.
-
C.
Sambali
Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
-
D.
RMAF
RMAF is the acronym commonly used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
-
E.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36d0fbc81908cb7cfe99f80de08 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8279c9cec8190bde450f845f7d0ea |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828c8b0588190a5a99380dc25d837 |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8296962b48190b9f5cc4a66b93b91 |
completed | March 28, 2026, 7:18 p.m. |
Created at: March 27, 2026, 3:13 p.m.