Triple

T14257965
Position Surface form Disambiguated ID Type / Status
Subject mahapatih E353433 entity
Predicate hasNotableOfficeHolder P537 FINISHED
Object Nambi E1087866 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: Nambi | Statement: [mahapatih, hasNotableOfficeHolder, Nambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nambi
Context triple: [mahapatih, hasNotableOfficeHolder, Nambi]
  • A. Nambi chosen
    Nambi was a prominent high-ranking official and military leader in the Majapahit Empire, serving as one of its early and influential mahapatihs (prime ministers).
  • B. Chemba
    Chemba is a town and district in central Mozambique, situated along the Zambezi River in Sofala Province.
  • C. Mooanam
    Mooanam was a member of the Wampanoag royal family, known primarily as one of the children of the influential sachem Massasoit in early 17th-century New England.
  • D. Nambya
    Nambya are a Bantu-speaking ethnic group primarily found in northwestern Zimbabwe and parts of Botswana, known for their distinct language and cultural traditions.
  • E. Nguna
    Nguna is an Oceanic language of Vanuatu, spoken primarily on Nguna Island and nearby areas in the central part of the country.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d150b188190a0858ab94f81d9a8 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.