Triple

T11663540
Position Surface form Disambiguated ID Type / Status
Subject Amares E277185 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Amares (town) E716729 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: Amares (town) | Statement: [Amares, hasMunicipalSeat, Amares (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amares (town)
Context triple: [Amares, hasMunicipalSeat, Amares (town)]
  • A. Amer town
    Amer town is a historic settlement near Jaipur in Rajasthan, India, renowned for its hilltop Amer Fort and scenic views over Maota Lake.
  • B. Amares chosen
    Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
  • C. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • D. Amel village
    Amel village is a small rural settlement that forms part of the municipality of Amel, likely characterized by a close-knit community and local agricultural or residential life.
  • E. Surami town
    Surami town is a historic settlement in central Georgia known for its strategic location in a mountain pass and its medieval fortress.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d3a64c819099f398ea22c8c180 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882dbf2481909ffcae5f80cd494f completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.