Triple

T15351740
Position Surface form Disambiguated ID Type / Status
Subject BDL E367068 entity
Predicate airportServesCity P4363 FINISHED
Object Springfield E244135 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: Springfield | Statement: [BDL, airportServesCity, Springfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springfield
Context triple: [BDL, airportServesCity, Springfield]
  • A. Springfield chosen
    Springfield is a major city in western Massachusetts known as the birthplace of basketball and a regional hub for culture, education, and transportation.
  • B. Springfield
    Springfield is a residential suburb in the Central Coast region of New South Wales, Australia, situated near the city of Gosford.
  • C. Springfield
    Springfield is a common place name in the United States, shared by numerous cities and towns across the country.
  • D. Springfield
    Springfield is the capital city of the U.S. state of Illinois and a major center of its government and political activity.
  • E. Springfield
    Springfield is a master-planned residential and commercial suburb in the City of Ipswich, Queensland, Australia.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e290efc8190b22c95dcd3e5f57f completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1341033881909121ade33cecaf50 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:17 a.m.