Triple

T15759330
Position Surface form Disambiguated ID Type / Status
Subject Sousel Municipality E382051 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Sousel E380687 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: Sousel | Statement: [Sousel Municipality, hasAdministrativeCenter, Sousel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sousel
Context triple: [Sousel Municipality, hasAdministrativeCenter, Sousel]
  • A. Sousel chosen
    Sousel is a municipality in Portugal’s Alentejo region, known for its rural landscape, agricultural activities, and traditional whitewashed architecture.
  • B. Sospel
    Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • C. Socaire
    Socaire is a traditional Atacameño village in northern Chile, known for its terraced agriculture, adobe architecture, and proximity to the Atacama Desert’s high Andean landscapes.
  • D. Solvan
    Solvan is a river associated with the town of Lons-le-Saunier in the Jura department of eastern France.
  • E. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b35ea48190a758ee76a57b5451 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998397688190a77b6a7c5b542f7e completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:47 a.m.