Triple

T15568007
Position Surface form Disambiguated ID Type / Status
Subject Arganil E374165 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Town of Arganil E374165 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: Town of Arganil | Statement: [Arganil, hasMunicipalSeat, Town of Arganil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Arganil
Context triple: [Arganil, hasMunicipalSeat, Town of Arganil]
  • A. Arganil chosen
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • B. Garganvillar
    Garganvillar is a small commune in the Tarn-et-Garonne department in southern France.
  • C. Comala town
    Comala town is a small, historic settlement in the Mexican state of Colima, known for its traditional whitewashed architecture and literary fame from Juan Rulfo’s novel "Pedro Páramo."
  • D. Antofalla village
    Antofalla village is a small, remote settlement in northwestern Argentina located near the Antofalla volcano in the high Andes.
  • E. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.