Triple

T19489411
Position Surface form Disambiguated ID Type / Status
Subject Roca Department E487606 entity
Predicate hasSettlement P1068 FINISHED
Object Mainqué 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: Mainqué | Statement: [Roca Department, hasSettlement, Mainqué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainqué
Context triple: [Roca Department, hasSettlement, Mainqué]
  • A. Mainqué chosen
    Mainqué is a small town in the General Roca Department of Río Negro Province in Argentina, known for its agricultural activity in the Alto Valle region.
  • B. Quisanté
    Quisanté is a novel by British author Anthony Hope that explores ambition, politics, and moral compromise in late Victorian society.
  • C. Quimbara
    "Quimbara" is a classic salsa song, famous for its infectious rhythm and Celia Cruz’s powerful, exuberant vocals.
  • D. Mocama
    Mocama were a coastal Timucua-speaking Indigenous people who inhabited the northeastern Florida and southeastern Georgia shoreline at the time of European contact.
  • E. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348ad4088190b530f47efca90165 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.