Triple

T20304282
Position Surface form Disambiguated ID Type / Status
Subject El-Bahnasa E505564 entity
Predicate governorateCapital P34211 FINISHED
Object Minya 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: Minya | Statement: [El-Bahnasa, governorateCapital, Minya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minya
Context triple: [El-Bahnasa, governorateCapital, Minya]
  • A. Minya chosen
    Minya is a major city in Upper Egypt on the Nile River, serving as an important regional administrative and commercial center.
  • B. Minya Governorate
    Minya Governorate is an administrative region in Upper Egypt along the Nile River, known for its agricultural production and numerous ancient archaeological sites.
  • C. إسنا
    إسنا هي مدينة مصرية تاريخية تقع على الضفة الغربية لنهر النيل في محافظة الأقصر وتشتهر بمعبد خنوم وببوابتها الرومانية.
  • D. Waset
    Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
  • E. Shebin El Qanater
    Shebin El Qanater is a city in Egypt’s Qalyubia Governorate, located in the Nile Delta north of Cairo.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6773ed3248190ba949ec941e8d41f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:17 a.m.