Triple

T12585041
Position Surface form Disambiguated ID Type / Status
Subject Province of Bourbonnais E300433 entity
Predicate notableTown P14082 FINISHED
Object Gannat E152671 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: Gannat | Statement: [Province of Bourbonnais, notableTown, Gannat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gannat
Context triple: [Province of Bourbonnais, notableTown, Gannat]
  • A. Gannat chosen
    Gannat is a small town in central France known for its rich paleontological heritage and traditional cultural festivals.
  • B. Gurune
    Gurune is a Gur language spoken primarily in northern Ghana and neighboring regions, known for its rich oral traditions and tonal phonology.
  • C. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • D. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • E. Balivanich
    Balivanich is the main village and administrative center on the island of Benbecula in Scotland’s Outer Hebrides.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bac9708190ad8f277e7751bf5c completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:04 p.m.