Triple

T3105868
Position Surface form Disambiguated ID Type / Status
Subject Saint-Gaudens E64827 entity
Predicate regionHistoric P5057 FINISHED
Object Comminges E175282 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: Comminges | Statement: [Saint-Gaudens, regionHistoric, Comminges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comminges
Context triple: [Saint-Gaudens, regionHistoric, Comminges]
  • A. Comminges chosen
    Comminges is a historic cultural region in southwestern France, known for its medieval heritage and picturesque landscapes at the foothills of the Pyrenees.
  • B. Manosque
    Manosque is a historic town in southeastern France’s Provence region, known for its medieval old town, surrounding lavender fields, and proximity to the Luberon mountains.
  • C. 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.
  • 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. Narbonne
    Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29beff08190b6e1eb6b0608d0eb completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c4e59c819084a3aa19824c1621 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:03 p.m.