Triple

T9733374
Position Surface form Disambiguated ID Type / Status
Subject TX-4 E235998 entity
Predicate hasCity P316 FINISHED
Object Sherman, Texas E49072 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: Sherman, Texas | Statement: [TX-4, hasCity, Sherman, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherman, Texas
Context triple: [TX-4, hasCity, Sherman, Texas]
  • A. Sherman, Texas chosen
    Sherman, Texas is a small North Texas city and county seat of Grayson County, known for its proximity to the Red River and its role as a regional hub in the Sherman–Denison metropolitan area.
  • B. Cleburne, Texas
    Cleburne, Texas is a small city in North Texas known for its historic downtown, railroad heritage, and role as a regional hub within the Dallas–Fort Worth metropolitan area.
  • C. Malakoff, Texas
    Malakoff, Texas is a small city in East Texas known historically for its brick manufacturing and proximity to Cedar Creek Reservoir.
  • D. Hannibal, Texas
    Hannibal, Texas is a small rural unincorporated community located in Erath County in north-central Texas.
  • E. Navasota, Texas
    Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eb54fe481908b0202f104b75dc1 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc408b988190980db82fbd93e988 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:22 p.m.