Triple

T13921619
Position Surface form Disambiguated ID Type / Status
Subject Apayao E334758 entity
Predicate regionCode P208 FINISHED
Object CAR
CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultural communities.
 E458914 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: CAR | Statement: [Apayao, regionCode, CAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAR
Context triple: [Apayao, regionCode, CAR]
  • A. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • B. CAR
    CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
  • C. CAR
    CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
  • D. CAR
    CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
  • E. CAR
    CAR is the acronym commonly used for the Council for Aboriginal Reconciliation, an Australian body established to promote understanding and improved relations between Aboriginal and Torres Strait Islander peoples and the wider community.
  • 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: CAR
Triple: [Apayao, regionCode, CAR]
Generated description
CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAR
Target entity description: CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultural communities.
  • A. CAR chosen
    CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
  • B. CAR
    CAR is the acronym commonly used for the Council for Aboriginal Reconciliation, an Australian body established to promote understanding and improved relations between Aboriginal and Torres Strait Islander peoples and the wider community.
  • C. CAR
    CAR is the commonly used abbreviation for Rugby Africa, the governing body for rugby union on the African continent.
  • D. CAR
    CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
  • E. CAR
    CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
  • F. None of above.

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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa5c1f481908a9d8786872f08fe completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7c4a788190a1e7619a00ab0c2e completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:16 p.m.