Triple

T11400773
Position Surface form Disambiguated ID Type / Status
Subject Cerdanya valley E270101 entity
Predicate traversedBy P225 FINISHED
Object Segre River E352465 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: Segre River | Statement: [Cerdanya valley, traversedBy, Segre River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segre River
Context triple: [Cerdanya valley, traversedBy, Segre River]
  • A. Segre River chosen
    The Segre River is a significant river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
  • B. Childs River
    Childs River is a small coastal river in Falmouth, Massachusetts, that flows into Waquoit Bay on Cape Cod.
  • C. Walkill River
    The Walkill River is a north-flowing river in New Jersey and New York that drains part of the Appalachian Valley before joining the Hudson River.
  • D. Setit River
    The Setit River is a major river in the Horn of Africa that flows through Ethiopia and Eritrea as part of the Nile basin.
  • E. Weir River
    The Weir River is a coastal river in eastern Massachusetts that flows through suburban communities before emptying into Hingham Bay.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2189c1cc819080dc296b17e42374 completed May 9, 2026, 11:59 a.m.
Created at: April 8, 2026, 9:34 p.m.