Triple

T17508655
Position Surface form Disambiguated ID Type / Status
Subject Zayton E426391 entity
Predicate knownAs P39 FINISHED
Object Zaytun 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: Zaytun | Statement: [Zayton, knownAs, Zaytun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaytun
Context triple: [Zayton, knownAs, Zaytun]
  • A. Zaitun chosen
    Zaitun is a historical name, often identified with the medieval Chinese port city of Quanzhou, which was a major hub of maritime trade along the Silk Road.
  • B. Hadayeq El-Zaitoun
    Hadayeq El-Zaitoun is a district and metro station area in northeastern Cairo, Egypt, known for its residential neighborhoods and location along the city's first metro line.
  • C. Azzan
    Azzan is a town in Yemen that serves as the administrative center of the Wahidi area.
  • D. Sufriyya
    Sufriyya is a historical Islamic sect that emerged as a moderate branch of the Kharijites, known for its distinct theological and political positions in early Islamic history.
  • E. Al-Bar’ah
    Al-Bar’ah is a traditional Omani folk dance characterized by rhythmic movements, chanting, and the use of swords or daggers, often performed at celebrations and cultural events.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.