Triple

T11471971
Position Surface form Disambiguated ID Type / Status
Subject Arados E271929 entity
Predicate subordinateTo P258 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: [Arados, subordinateTo, Tyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyre
Context triple: [Arados, subordinateTo, 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 (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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e95a479c81909a330c9721bd3902 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.