Triple

T18292812
Position Surface form Disambiguated ID Type / Status
Subject Hibbat Zion E438157 entity
Predicate supportedSettlement P2741 FINISHED
Object Gedera 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: Gedera | Statement: [Hibbat Zion, supportedSettlement, Gedera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gedera
Context triple: [Hibbat Zion, supportedSettlement, Gedera]
  • A. Gedera chosen
    Gedera is a town in central Israel known for its agricultural roots and diverse immigrant communities.
  • B. Isparta
    Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
  • C. Manisa
    Manisa is a historic city in western Turkey known for its agricultural production, especially grapes and olives, and its proximity to the Aegean coast.
  • D. Akhisar
    Akhisar is a town in western Turkey that occupies the site of the ancient city of Thyatira, one of the early centers of Christianity in Asia Minor.
  • E. Niksar
    Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50100d6488190bbe73668df9c4046 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.