Triple

T10228632
Position Surface form Disambiguated ID Type / Status
Subject Lautém Municipality E243282 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Lospalos E851161 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: Lospalos | Statement: [Lautém Municipality, hasMunicipalSeat, Lospalos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lospalos
Context triple: [Lautém Municipality, hasMunicipalSeat, Lospalos]
  • A. Lospalos chosen
    Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
  • B. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • C. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c9123cc819095da6d8dc0cfa688 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:18 a.m.