Triple

T17622048
Position Surface form Disambiguated ID Type / Status
Subject Akhnur Fort E429730 entity
Predicate locatedIn P40 FINISHED
Object Akhnur 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: Akhnur | Statement: [Akhnur Fort, locatedIn, Akhnur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akhnur
Context triple: [Akhnur Fort, locatedIn, Akhnur]
  • A. Akhnur chosen
    Akhnur is a town in the Jammu district of the Indian union territory of Jammu and Kashmir, known for its strategic location near the India–Pakistan border and its historical and archaeological significance.
  • B. Khanaqin
    Khanaqin is a city in eastern Iraq near the Iranian border, known for its ethnically diverse population and strategic location in the oil-rich Diyala region.
  • C. Serakhulle
    Serakhulle refers to the Soninke people, a West African ethnic group historically known for their role in the ancient Ghana Empire and long-distance trade.
  • D. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • E. Qayrawan
    Qayrawan (Kairouan) is a historic city in central Tunisia renowned as an early center of Islamic scholarship and a major religious and cultural hub in North Africa.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46db98c54819088dadec9f6bcc559 completed April 19, 2026, 5:52 a.m.
Created at: April 10, 2026, 5:52 a.m.