Triple

T4126452
Position Surface form Disambiguated ID Type / Status
Subject Matucana E92736 entity
Predicate hasName P744 FINISHED
Object Matucana E92736 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: Matucana | Statement: [Matucana, hasName, Matucana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matucana
Context triple: [Matucana, hasName, Matucana]
  • A. Matucana chosen
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • B. Manjaco
    The Manjaco are an ethnic group of West Africa, primarily living in Guinea-Bissau, known for their rice cultivation, coastal settlements, and distinct language and cultural traditions.
  • C. Huajicori
    Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
  • D. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • E. Mazaca
    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.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0219f0e48190b0a925f09d858d65 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b96e588190bdf346a66a95138a completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:41 p.m.