Triple

T15439868
Position Surface form Disambiguated ID Type / Status
Subject Medenine E369869 entity
Predicate nearbyCity P350 FINISHED
Object Gabès E1067538 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: Gabès | Statement: [Medenine, nearbyCity, Gabès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabès
Context triple: [Medenine, nearbyCity, Gabès]
  • A. Gabès chosen
    Gabès is a coastal city in southeastern Tunisia known as an oasis on the Gulf of Gabès and a strategic location in World War II.
  • 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. Aït Bouzid
    Aït Bouzid is a town located in the mountainous Kabylie region of northern Algeria, within Tizi Ouzou Province.
  • D. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • E. Sidi Bou Said
    Sidi Bou Said is a picturesque coastal village in northern Tunisia, famed for its blue-and-white architecture, cliffside views over the Mediterranean, and vibrant artistic heritage.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a9b9188190a3f5de3ee18c5d3e completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.