Triple

T3865364
Position Surface form Disambiguated ID Type / Status
Subject Catalonia Offensive E91837 entity
Predicate frontLine P2502 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: [Catalonia Offensive, frontLine, Segre River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segre River
Context triple: [Catalonia Offensive, frontLine, 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. Nestos River
    The Nestos River is a major river in the Balkans that flows from Bulgaria into northeastern Greece, forming scenic gorges and wetlands before emptying into the Aegean Sea.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769cd39e081908624c8471b9131a1 completed March 28, 2026, 5:40 a.m.
Created at: March 9, 2026, 3:19 p.m.