Triple

T5469603
Position Surface form Disambiguated ID Type / Status
Subject County Tyrone E122797 entity
Predicate hasSettlement P1068 FINISHED
Object Pomeroy E494939 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: Pomeroy | Statement: [County Tyrone, hasSettlement, Pomeroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomeroy
Context triple: [County Tyrone, hasSettlement, Pomeroy]
  • A. Pomeroy chosen
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • B. Winslow
    Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
  • C. Winslow
    Winslow is an English-origin surname historically associated with early colonial families in New England.
  • D. Wadsworth
    Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
  • E. Gardiner
    Gardiner is an English surname historically associated with Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921b65f48190af7fcf89140f9ba8 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4893029081908a801c7a44872ebf completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.