Triple

T15809397
Position Surface form Disambiguated ID Type / Status
Subject Chelmsford E383304 entity
Predicate hasTwinTown P919 FINISHED
Object Annonay E286819 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: Annonay | Statement: [Chelmsford, hasTwinTown, Annonay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annonay
Context triple: [Chelmsford, hasTwinTown, Annonay]
  • A. Annonay chosen
    Annonay is a historic town in the Ardèche department of southeastern France, known as the birthplace of the Montgolfier brothers and early hot air balloon flight.
  • B. Aureille
    Aureille is a small Provençal village in southern France, known for its traditional rural character and scenic setting within the Alpilles hills.
  • C. Marloie
    Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • D. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • E. Bonaly
    Bonaly is a small residential and recreational area on the southwestern edge of Edinburgh, Scotland, known for its proximity to the Pentland Hills and outdoor activities.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b529c6b481909664153ecc381f7c completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999210148190baa6dcb19be3a1d3 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.