Triple

T21087997
Position Surface form Disambiguated ID Type / Status
Subject Walnut–Locust station E519553 entity
Predicate hasBorough P300 FINISHED
Object Center City NE NERFINISHED

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: Center City | Statement: [Walnut–Locust station, hasBorough, Center City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Center City
Context triple: [Walnut–Locust station, hasBorough, Center City]
  • A. Center City chosen
    Center City is the primary downtown business and commercial district of Philadelphia, Pennsylvania, known for its dense skyline, cultural institutions, and historic landmarks.
  • B. Central City
    Central City is the primary fictional metropolis in the DC Comics universe known as the home of the superhero The Flash.
  • C. Central City
    Central City is the main urban and ceremonial core of the ancient Egyptian city of Amarna, containing its principal temples, palaces, and administrative buildings.
  • D. Central City
    Central City is a small town in Linn County, Iowa, known for its rural Midwestern character and community-oriented lifestyle.
  • E. Central City
    Central City is a major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094cebe08190bb10f51a45c244ec completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.