Triple

T9542577
Position Surface form Disambiguated ID Type / Status
Subject Mary Region E230193 entity
Predicate hasCity P316 FINISHED
Object Serhetabat E801737 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: Serhetabat | Statement: [Mary Region, hasCity, Serhetabat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serhetabat
Context triple: [Mary Region, hasCity, Serhetabat]
  • A. Serhetabat chosen
    Serhetabat is a town in southern Turkmenistan near the Afghan border, serving as a regional transport and border-crossing hub.
  • B. Khardaha
    Khardaha is a suburban city in the Indian state of West Bengal, located near Kolkata along the Hooghly River and known as part of the Kolkata metropolitan area.
  • C. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • D. Bazarak
    Bazarak is a small town in northeastern Afghanistan that serves as the administrative and political center of the strategically significant Panjshir region.
  • E. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6538b08190a9f81304214a876d completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.