Triple

T4891716
Position Surface form Disambiguated ID Type / Status
Subject Tarbes E109577 entity
Predicate departmentalPrefecture P40172 FINISHED
Object Tarbes E109577 NE FINISHED

How this triple was built (3 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: Tarbes | Statement: [Tarbes, departmentalPrefecture, Tarbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarbes
Context triple: [Tarbes, departmentalPrefecture, Tarbes]
  • A. Tarbes chosen
    Tarbes is a historic city in southwestern France, serving as the capital of the Hautes-Pyrénées department at the foot of the Pyrenees.
  • B. Bagnères-de-Bigorre
    Bagnères-de-Bigorre is a spa and ski resort town in the French Pyrenees, known for its thermal baths and mountain tourism.
  • C. Narbonne
    Narbonne is a historic city in southern France known for its Roman heritage, medieval architecture, and former status as an important Mediterranean port.
  • D. Saint-Girons
    Saint-Girons is a small town in the Ariège department of southwestern France, situated in the foothills of the Pyrenees.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: departmentalPrefecture
Context triple: [Tarbes, departmentalPrefecture, Tarbes]
  • A. prefectureOfDepartment chosen
    Indicates that a given prefecture administers or is the capital authority of a specified department.
  • B. subprefectureOf
    Indicates that one administrative subprefecture is a subordinate division within and officially belongs to a larger governing region or prefecture.
  • C. hasPrefecture
    Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
  • D. subprefecture
    Indicates that an entity is a subprefecture (an administrative subdivision) of another administrative region or jurisdiction.
  • E. homePrefecture
    Indicates the prefecture that an entity considers its home or place of origin.
  • F. None of above.

Provenance (4 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffabccc81909115ece1b04e2061 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
PD Predicate disambiguation batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.