Triple

T11879613
Position Surface form Disambiguated ID Type / Status
Subject Ebro basin E282621 entity
Predicate containsRiver P165 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: [Ebro basin, containsRiver, Segre River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segre River
Context triple: [Ebro basin, containsRiver, 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. Sûre River
    The Sûre River is a major river in Belgium and Luxembourg that flows through the Ardennes region before joining the Moselle.
  • D. 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.
  • E. 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.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e6bc748190b8099e7559569a90 completed May 10, 2026, 6:29 a.m.
Created at: April 8, 2026, 9:44 p.m.