Triple

T14903419
Position Surface form Disambiguated ID Type / Status
Subject Western New Mexico E360065 entity
Predicate contains P35 FINISHED
Object Gallup E290813 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: Gallup | Statement: [Western New Mexico, contains, Gallup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gallup
Context triple: [Western New Mexico, contains, Gallup]
  • A. Gallup chosen
    Gallup is a small city in northwestern New Mexico known as a historic stop along Route 66 and a cultural center for Native American art and trading.
  • B. Gallup
    Gallup is a global analytics and advisory company best known for its public opinion polls and research on politics, economics, and well-being.
  • C. Gallup Poll
    The Gallup Poll is a long-running public opinion survey program that measures and reports on the views and attitudes of people around the world on politics, social issues, and current events.
  • D. Flag Institute
    The Flag Institute is the United Kingdom’s principal vexillological and heraldic organization, known for researching, advising on, and maintaining records of British flags.
  • E. Hayden Survey
    The Hayden Survey was a 19th-century U.S. geological and geographical exploration led by Ferdinand V. Hayden that extensively mapped and studied the American West, including parts of Colorado.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:11 a.m.