Triple

T11690323
Position Surface form Disambiguated ID Type / Status
Subject Altötting district E277850 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Haiming E816636 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: Haiming | Statement: [Altötting district, containsAdministrativeTerritorialEntity, Haiming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haiming
Context triple: [Altötting district, containsAdministrativeTerritorialEntity, 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. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a478f4c481908b2ba7b70972590d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef831d27248190894ffdb12c1ddd4d completed April 27, 2026, 3:39 p.m.
Created at: April 8, 2026, 9:40 p.m.