Triple

T19863283
Position Surface form Disambiguated ID Type / Status
Subject Meleager of Gadara E477323 entity
Predicate workLocation P7 FINISHED
Object Tyre 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: Tyre | Statement: [Meleager of Gadara, workLocation, Tyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyre
Context triple: [Meleager of Gadara, workLocation, 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. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • C. Suret
    Suret is a modern Eastern Neo-Aramaic language spoken primarily by Assyrian communities in parts of Iraq, Syria, Iran, and the global diaspora.
  • D. Tournor
    Tournor is a surname variant of "Turnor," typically of English origin.
  • E. Trun
    Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589c4c0081908cd51ff75441e7ac completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.