Triple

T7633821
Position Surface form Disambiguated ID Type / Status
Subject Diez de Octubre E172823 entity
Predicate contains P35 FINISHED
Object Lawton E565288 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: Lawton | Statement: [Diez de Octubre, contains, Lawton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawton
Context triple: [Diez de Octubre, contains, Lawton]
  • A. Lawton
    Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
  • B. Lawton chosen
    Lawton is a residential neighborhood in Havana, Cuba, known for its traditional urban character within the Diez de Octubre municipality.
  • C. McAlester
    McAlester is a regional hub city in southeastern Oklahoma known for its role as a commercial center and for housing the Oklahoma State Penitentiary.
  • D. Bartlesville
    Bartlesville is a small city in northeastern Oklahoma known for its oil industry heritage and distinctive architecture, including Frank Lloyd Wright’s Price Tower.
  • E. Tulsa
    Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa72f2881908479049dd8d181a4 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870be4e18819089781c7493dea13b completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.