Triple

T8579273
Position Surface form Disambiguated ID Type / Status
Subject Avery Memorial Building E203126 entity
Predicate locatedInCity P40 FINISHED
Object Hartford E67626 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: Hartford | Statement: [Avery Memorial Building, locatedInCity, Hartford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartford
Context triple: [Avery Memorial Building, locatedInCity, Hartford]
  • A. Hartford chosen
    Hartford is the capital city of Connecticut and a historic center of insurance, government, and culture in the northeastern United States.
  • B. Hartford (Providence)
    Hartford is a neighborhood in the city of Providence, Rhode Island, known as a residential area within Providence County.
  • C. The Hartford
    The Hartford is a major American insurance and financial services company known for its property and casualty, group benefits, and mutual funds offerings.
  • D. New Haven, Connecticut
    New Haven, Connecticut is a historic coastal city in southern New England best known as the home of Yale University and a major center of education, culture, and research.
  • E. Meriden
    Meriden is a village and civil parish in the West Midlands of England, historically known as a traditional contender for the geographical centre of England.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9a0708819084cb8b8d84017864 completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4b5781c8190b33035b81dd74260 completed April 5, 2026, 10:39 p.m.
Created at: March 30, 2026, 6:22 p.m.