Triple

T16616743
Position Surface form Disambiguated ID Type / Status
Subject Xiu Maya E403714 entity
Predicate ruled P760 FINISHED
Object Maní E1223854 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: Maní | Statement: [Xiu Maya, ruled, Maní]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maní
Context triple: [Xiu Maya, ruled, Maní]
  • A. Maní
    Maní is a rural municipality in Colombia’s Casanare Department, known for its cattle ranching, oil-related activities, and Llanos (plains) landscapes.
  • B. Maní chosen
    Maní is a historic town in the Mexican state of Yucatán, known for its deep Xiu Maya heritage and colonial-era Franciscan convent.
  • C. Zapote
    Zapote is a district of San José, Costa Rica, known for housing important government buildings and urban residential areas.
  • D. Cochoqua
    The Cochoqua were a prominent Khoikhoi pastoralist group in the Cape region of South Africa, known for their power and involvement in early conflicts with Dutch colonists in the 17th century.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b40c288190afda6c7643b61e85 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.