Triple

T22634202
Position Surface form Disambiguated ID Type / Status
Subject Port of Sousse E558634 entity
Predicate nearbyCity P350 FINISHED
Object Hammamet NE NERFINISHED

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: Hammamet | Statement: [Port of Sousse, nearbyCity, Hammamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammamet
Context triple: [Port of Sousse, nearbyCity, Hammamet]
  • A. Hammamet chosen
    Hammamet is a popular Tunisian coastal resort town on the Mediterranean Sea, known for its beaches, tourism, and historic medina.
  • B. Sousse
    Sousse is a major coastal city in eastern Tunisia known for its historic medina, tourism, and role in the country’s modern political events.
  • C. Houmt Souk
    Houmt Souk is the main town of the Tunisian island of Djerba, known for its traditional markets, whitewashed architecture, and historic role as a Mediterranean trading hub.
  • D. Ben Arous
    Ben Arous is a city in northeastern Tunisia that serves as an important suburban and industrial center just south of the capital, Tunis.
  • 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 (2 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700be10c8190830393fdbec1033d completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:03 p.m.