Triple

T544670
Position Surface form Disambiguated ID Type / Status
Subject Castro Marim E12705 entity
Predicate municipalitySeat P15510 FINISHED
Object Castro Marim (town) E12705 NE FINISHED

How this triple was built (3 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: Castro Marim (town) | Statement: [Castro Marim, municipalitySeat, Castro Marim (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castro Marim (town)
Context triple: [Castro Marim, municipalitySeat, Castro Marim (town)]
  • A. Castro Marim chosen
    Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
  • B. Municipality of Castro Marim
    The Municipality of Castro Marim is a coastal municipality in Portugal’s Algarve region, known for its historic castle, salt pans, and location near the Spanish border along the Guadiana River.
  • C. Colonia Algarín
    Colonia Algarín is a traditional residential neighborhood in central Mexico City’s Cuauhtémoc borough, known for its dense urban fabric, local commerce, and proximity to the historic center.
  • D. Colonia Buenavista
    Colonia Buenavista is a central neighborhood in Mexico City’s Cuauhtémoc borough, known for its major transit hubs, commercial activity, and proximity to key cultural and governmental institutions.
  • E. San Juan de Rioseco
    San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalitySeat
Context triple: [Castro Marim, municipalitySeat, Castro Marim (town)]
  • A. cityAsSeatOfGovernment
    Indicates that a city serves as the official seat or location of a government’s central authority or administration.
  • B. countySeat
    Indicates that one place serves as the administrative center or capital of a county.
  • C. countySeatFunction
    Indicates that one place serves as the administrative center or seat of government for a county.
  • D. mayorSeatOf
    Indicates that a particular mayor holds office as the chief elected official of a specified city or municipality.
  • E. isDistrictCapitalOf
    Indicates that a location serves as the administrative or governmental capital of a specified district.
  • F. None of above. chosen

Provenance (5 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dfec5c81908b76d723b30dc2f0 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5f6dfc8190a6c97a81aa8e82a3 completed March 1, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69a494b8098481908097228db8ad0262 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a49858abd48190bd4b002a93e4a908 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.