Triple

T11530329
Position Surface form Disambiguated ID Type / Status
Subject TX-14 E273401 entity
Predicate includesCity P3207 FINISHED
Object Beaumont E231427 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: Beaumont | Statement: [TX-14, includesCity, Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaumont
Context triple: [TX-14, includesCity, Beaumont]
  • A. Beaumont
    Beaumont is a residential suburb on the north side of Dublin, Ireland, known for its quiet streets, local amenities, and proximity to Beaumont Hospital.
  • B. Beaumont
    Beaumont is a growing city in Southern California known for its suburban communities, proximity to the San Gorgonio Pass, and role as a gateway between the Inland Empire and the Coachella Valley.
  • C. Beaumont
    Beaumont is a surname of French origin borne by various notable individuals, including English rugby union legend and administrator Bill Beaumont.
  • D. Beaumont, Texas chosen
    Beaumont, Texas is an industrial and cultural city in Southeast Texas near the Gulf Coast, known for its oil history and role as a regional education and commerce hub.
  • E. Livingston
    Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839878948190b170e64629d6f2db completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6856341b481909d2ee71893e6117b completed April 20, 2026, 7:58 p.m.
Created at: April 8, 2026, 9:37 p.m.