Triple

T15568321
Position Surface form Disambiguated ID Type / Status
Subject Entroncamento E374173 entity
Predicate locatedIn P40 FINISHED
Object Médio Tejo E1138027 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: Médio Tejo | Statement: [Entroncamento, locatedIn, Médio Tejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Médio Tejo
Context triple: [Entroncamento, locatedIn, Médio Tejo]
  • A. Médio Tejo chosen
    Médio Tejo is an intermunicipal subregion in central Portugal that includes several municipalities such as Alcanena and is known for its mix of historical towns and natural landscapes.
  • B. Alto Tâmega
    Alto Tâmega is an inland subregion of northern Portugal known for its mountainous landscapes, thermal springs, and traditional rural communities.
  • C. Rio Minho
    Rio Minho is the longest river in Jamaica, flowing through the island’s central region before emptying into the Caribbean Sea.
  • D. Alto Minho
    Alto Minho is a scenic subregion in northern Portugal known for its lush green landscapes, historic towns, and production of Vinho Verde wine.
  • E. Lezíria do Tejo
    Lezíria do Tejo is a fertile agricultural subregion in central Portugal, known for its river plains along the Tagus and its traditional Ribatejo rural culture.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e56ffc81909e3228a660df4e09 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:10 a.m.