Triple

T4733049
Position Surface form Disambiguated ID Type / Status
Subject Béja Governorate E105056 entity
Predicate hasCity P316 FINISHED
Object Téboursouk E99743 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: Téboursouk | Statement: [Béja Governorate, hasCity, Téboursouk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Téboursouk
Context triple: [Béja Governorate, hasCity, Téboursouk]
  • A. Téboursouk chosen
    Téboursouk is a town in northern Tunisia known as a gateway to the nearby ancient Roman ruins of Dougga.
  • B. Takrur
    Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
  • C. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • D. Kalbeliya
    Kalbeliya is a vibrant folk dance form of the Kalbeliya (snake-charmer) community, characterized by fast, swirling movements and colorful costumes, and is recognized by UNESCO as an Intangible Cultural Heritage of Humanity.
  • E. Kissoué
    Kissoué is a town in southwestern Syria that gained historical significance as the site of a notable World War II battle during the Syria–Lebanon campaign.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6466354481908595f5bb56025cdb completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10acf7488190946b31f95114d459 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.