Triple

T4305589
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Cappadocia E99947 entity
Predicate capital P234 FINISHED
Object Mazaca E399397 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: Mazaca | Statement: [Kingdom of Cappadocia, capital, Mazaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazaca
Context triple: [Kingdom of Cappadocia, capital, Mazaca]
  • A. Mazaca chosen
    Mazaca was an ancient city in central Anatolia that later became known as Caesarea in Cappadocia, an important regional center in Hellenistic and Roman times.
  • B. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • C. Zapote
    Zapote is a district of San José, Costa Rica, known for housing important government buildings and urban residential areas.
  • D. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • E. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • 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_69b345528ebc8190b5abc7e95094792d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350ba57ec8190afda7d8318e5d2d0 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c75382848190a4f2141a72e3fb3a completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:09 p.m.