Triple

T16270124
Position Surface form Disambiguated ID Type / Status
Subject Médio Tejo Intermunicipal Community E394976 entity
Predicate containsMunicipality P852 FINISHED
Object Ourém E374155 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: Ourém | Statement: [Médio Tejo Intermunicipal Community, containsMunicipality, Ourém]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ourém
Context triple: [Médio Tejo Intermunicipal Community, containsMunicipality, Ourém]
  • A. Ourém chosen
    Ourém is a historic municipality and pilgrimage destination in central Portugal, best known for its proximity to the Sanctuary of Fátima.
  • B. Ifremer
    Ifremer is the French national institute for ocean science, conducting marine research and operating major oceanographic infrastructures and data centers.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • E. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24608dd20819082f46a64af233038 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bceb3881909dbd3167820ef199 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.