Triple

T12000874
Position Surface form Disambiguated ID Type / Status
Subject Montélimar E285655 entity
Predicate twinning P102611 FINISHED
Object Nabeul E101463 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: Nabeul | Statement: [Montélimar, twinning, Nabeul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabeul
Context triple: [Montélimar, twinning, Nabeul]
  • A. Sfax
    Sfax is a major port city on Tunisia’s eastern coast, known as an economic hub and a significant center of political activism during the Tunisian Revolution.
  • B. Mahdia
    Mahdia is a historic coastal city in present-day Tunisia that served as the first capital of the Fatimid Caliphate and an important Mediterranean trading and naval center.
  • C. Nouaceur
    Nouaceur is a town and municipality in the Casablanca-Settat region of Morocco, known for hosting Mohammed V International Airport.
  • D. Nabeul Governorate chosen
    Nabeul Governorate is a coastal administrative region in northeastern Tunisia known for its Mediterranean resorts, ancient archaeological sites, and traditional pottery.
  • E. Biskra
    Biskra is a city in northeastern Algeria known as a gateway to the Sahara and for its date palm oases and warm winter climate.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4729eb4a081909d93b3fc74509d86 completed May 1, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:46 p.m.