Triple

T11998316
Position Surface form Disambiguated ID Type / Status
Subject Central Area E285586 entity
Predicate contains P35 FINISHED
Object Rochor Planning Area E805950 NE FINISHED

How this triple was built (2 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: Rochor Planning Area | Statement: [Central Area, contains, Rochor Planning Area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochor Planning Area
Context triple: [Central Area, contains, Rochor Planning Area]
  • A. Rochor chosen
    Rochor is a central urban planning area and historic district in Singapore known for its mix of heritage sites, commercial activity, and dense public housing.
  • B. Krayot urban area
    Krayot urban area is a cluster of coastal suburban towns north of Haifa in Israel, functioning as its metropolitan extension.
  • C. Băneasa
    Băneasa is a northern district of Bucharest, Romania, known for its residential areas, shopping centers, and proximity to Băneasa Airport and Băneasa Forest.
  • D. Băneasa
    Băneasa is a commune in southeastern Romania, located in Constanța County near the border with Bulgaria.
  • E. Cumbica district
    Cumbica district is a neighborhood in Guarulhos, São Paulo, best known for hosting the major international airport serving the São Paulo metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.