Triple

T4633147
Position Surface form Disambiguated ID Type / Status
Subject Nabeul Governorate E101463 entity
Predicate hasResortTown P847 FINISHED
Object Hammamet E298365 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: Hammamet | Statement: [Nabeul Governorate, hasResortTown, Hammamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hammamet
Context triple: [Nabeul Governorate, hasResortTown, 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. 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.
  • E. Tunis
    Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5d0de881909baacc5b991f5b53 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4390976c81908ab31c4e25f96064 completed March 21, 2026, 7:06 a.m.
Created at: March 20, 2026, 1:13 p.m.