Triple

T12612513
Position Surface form Disambiguated ID Type / Status
Subject Colossae E301162 entity
Predicate locatedNear P294 FINISHED
Object Honaz E895339 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: Honaz | Statement: [Colossae, locatedNear, Honaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honaz
Context triple: [Colossae, locatedNear, Honaz]
  • A. Hawniyaz
    Hawniyaz is a collaborative album blending Kurdish folk music with contemporary classical and improvisational elements, featuring virtuoso kamancheh player Kayhan Kalhor and other prominent Kurdish musicians.
  • B. Hamoaze
    Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
  • C. Hazo
    Hazo is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Nahor, Abraham’s brother.
  • D. Hozat chosen
    Hozat is a small town and district in eastern Turkey known for its mountainous terrain and predominantly Alevi Kurdish population.
  • E. Hieda
    Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954eaf8d08190a06abb6918253acd completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed1044c8190bbe881d32a4bf29e completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:12 p.m.