Triple

T4964996
Position Surface form Disambiguated ID Type / Status
Subject TIAA Bank Field E111501 entity
Predicate city P40 FINISHED
Object Jacksonville E20727 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: Jacksonville | Statement: [TIAA Bank Field, city, Jacksonville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacksonville
Context triple: [TIAA Bank Field, city, Jacksonville]
  • A. Jacksonville
    Jacksonville is a small city in west-central Illinois known for its historic colleges, including Illinois College, and its role as a regional educational and cultural center.
  • B. Jacksonville, Florida chosen
    Jacksonville, Florida is a major city in northeastern Florida known for its extensive riverfront, large land area, and role as a regional economic and transportation hub.
  • C. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • D. Orlando
    Orlando is a historic township area within Soweto, South Africa, known for its central role in the anti-apartheid struggle and vibrant local culture.
  • E. Orlando
    Orlando is a 1992 British period fantasy film, based on Virginia Woolf’s novel, in which Tilda Swinton plays an androgynous noble who lives for centuries while changing gender.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f693b48190b3523cd314303cbe completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c4b5608819089c0bf2400395d18 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:32 p.m.