Triple

T1118695
Position Surface form Disambiguated ID Type / Status
Subject The Mysterious Mother E11159 entity
Predicate settingLocation P40 FINISHED
Object Narbonne E115163 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: Narbonne | Statement: [The Mysterious Mother, settingLocation, Narbonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narbonne
Context triple: [The Mysterious Mother, settingLocation, Narbonne]
  • A. Narbonne chosen
    Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
  • B. Tarascon-sur-Ariège
    Tarascon-sur-Ariège is a small commune in southwestern France, nestled in the Pyrenees along the Ariège River and known for its scenic mountain surroundings and historic architecture.
  • C. Villefranche-de-Rouergue
    Villefranche-de-Rouergue is a historic bastide town in southern France known for its medieval architecture and picturesque setting on the Aveyron River.
  • D. Colomiers
    Colomiers is a suburban city in southwestern France, known as part of the Toulouse metropolitan area and for its strong aerospace and industrial sectors.
  • E. Blagnac
    Blagnac is a suburban town near Toulouse in southwestern France, best known for hosting the headquarters and main facilities of the aircraft manufacturer Airbus.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbb6ac481909c331a5eea7a5b38 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae02f0424481909c533774f0169ca7 completed March 8, 2026, 11:14 p.m.
Created at: March 1, 2026, 7:43 p.m.