Triple

T18915403
Position Surface form Disambiguated ID Type / Status
Subject Oetz E462711 entity
Predicate locatedNear P294 FINISHED
Object Haiming NE NERFINISHED

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: Haiming | Statement: [Oetz, locatedNear, Haiming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haiming
Context triple: [Oetz, locatedNear, Haiming]
  • A. Haiming
    Haiming is a municipality in the Tyrolean Alps of western Austria, known for its scenic mountain setting and proximity to popular outdoor recreation areas.
  • B. Haiming chosen
    Haiming is a municipality in the Altötting district of Bavaria, Germany, known for its rural character and location near the Austrian border.
  • C. Yuming
    Yuming is a Chinese given name shared by various individuals across different fields.
  • D. Chieming
    Chieming is a Bavarian municipality on the eastern shore of Lake Chiemsee in southern Germany, known for its lakeside tourism and scenic Alpine surroundings.
  • E. Zhaohui
    Zhaohui was a prominent Qing dynasty general best known for leading imperial forces in several of the Ten Great Campaigns under the Qianlong Emperor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62685408190b17280147e1c247a completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.