Triple

T7106639
Position Surface form Disambiguated ID Type / Status
Subject GYI E165603 entity
Predicate serves P98 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: [GYI, serves, Sherman, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sherman, Texas
Context triple: [GYI, serves, 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_69c6888120f081908f8f01b201dc4a4c completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5b9f13c8190a14898f241ec17a4 completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c902a459f481908dbba16de611b85a completed March 29, 2026, 10:44 a.m.
Created at: March 27, 2026, 2:42 p.m.