Triple
T3950762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Appeals of the Philippines |
E84858
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
CA
CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
|
E402866
|
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: CA | Statement: [Court of Appeals of the Philippines, alsoKnownAs, CA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CA Context triple: [Court of Appeals of the Philippines, alsoKnownAs, CA]
-
A.
CA
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
-
B.
CA
CA is the two-letter U.S. postal abbreviation for the state of California.
-
C.
CA
CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
-
D.
CA
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
-
E.
CA
CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
- 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: CA Triple: [Court of Appeals of the Philippines, alsoKnownAs, CA]
Generated description
CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CA Target entity description: CA is the commonly used abbreviation for the Court of Appeals of the Philippines, the country's second-highest judicial body that reviews decisions of lower courts and quasi-judicial agencies.
-
A.
CA
CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
-
B.
CA
CA is the two-letter U.S. postal abbreviation for the state of California.
-
C.
CA
CA is the IATA airline designator assigned to Air China, the flag carrier of the People's Republic of China.
-
D.
CA
CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
-
E.
CA
CA is the commonly used abbreviation for Club Africain, a major Tunisian multi-sport club best known for its football team based in Tunis.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9384cdc8190ad89b32dc25ac1d7 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a4d3048190b63ad93a6ec87a48 |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b5347dd9d08190a9c373a7d0428245 |
completed | March 14, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5383cbe248190ada0fe5257c8aa30 |
completed | March 14, 2026, 10:28 a.m. |
Created at: March 9, 2026, 3:30 p.m.