Triple

T22950215
Position Surface form Disambiguated ID Type / Status
Subject Dhaman E569993 entity
Predicate shortName P43 FINISHED
Object Dhaman 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: Dhaman | Statement: [Dhaman, shortName, Dhaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhaman
Context triple: [Dhaman, shortName, Dhaman]
  • A. Dhaman chosen
    Dhaman is a regional Arab multilateral institution that promotes and guarantees investment and trade in Arab countries by providing political and commercial risk insurance and related services.
  • B. Dhamdaha
    Dhamdaha is a town in the Purnia district of Bihar, India, known primarily as a local administrative and market center for the surrounding rural region.
  • C. Khamaria
    Khamaria is a locality in India known primarily as the home base of the football club OFK.
  • D. Dhamar
    Dhamar is a historic city in Yemen known as an important political and cultural center, particularly during the rule of the Rassid dynasty.
  • E. Dahije
    Dahije were renegade Janissary leaders who seized control of the Belgrade Pashaluk in the early 19th century, ruling it oppressively and provoking the First Serbian Uprising.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a1b334819097a4e9ea8a54209c completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.