Triple

T617626
Position Surface form Disambiguated ID Type / Status
Subject Canaan E14440 entity
Predicate majorCity P316 FINISHED
Object Tyre E30369 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: Tyre | Statement: [Canaan, majorCity, Tyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyre
Context triple: [Canaan, majorCity, Tyre]
  • A. Tyre chosen
    Tyre is an ancient Phoenician port city, in present-day Lebanon, renowned as a major maritime, commercial, and cultural center of the Mediterranean world.
  • B. Vian
    Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
  • C. Caterham
    Caterham is a town in the Tandridge district of Surrey, England, known as a commuter settlement on the edge of the London metropolitan area.
  • D. Walcheren
    Walcheren is a peninsula and former island in the Dutch province of Zeeland, known for its coastal towns, beaches, and strategic location at the mouth of the Western Scheldt.
  • E. Rhegion
    Rhegion was an important ancient Greek city located at the southern tip of Italy, strategically positioned on the Strait of Messina.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e2418c881908552d2c4a5006e97 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c40fbc81908b117bc6139507d2 completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:35 p.m.