Triple

T13966562
Position Surface form Disambiguated ID Type / Status
Subject Ancient Ioulis E335937 entity
Predicate nearModernSettlement P33888 FINISHED
Object Ioulida E335928 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: Ioulida | Statement: [Ancient Ioulis, nearModernSettlement, Ioulida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ioulida
Context triple: [Ancient Ioulis, nearModernSettlement, Ioulida]
  • A. Ioulida chosen
    Ioulida is the main town and traditional inland settlement of the Greek island of Kea in the Cyclades.
  • B. Marcané
    Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
  • C. Melissant
    Melissant is a small village in the Dutch province of South Holland, located on the island of Goeree-Overflakkee.
  • D. Sidonie
    Sidonie is a character in Jean-Baptiste Lully’s opera *Armide*, typically portrayed as one of Armide’s attendants or confidantes within the enchanted realm.
  • E. Calonice
    Calonice is a prominent female character in Aristophanes’ comedy "Lysistrata," known for her humorous, down-to-earth support of the women’s sex strike against the men’s war.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8c9e988190a84c9ca8a78b515f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd090350881909dd6ff12ec7e61dd completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:18 p.m.