Triple

T18036575
Position Surface form Disambiguated ID Type / Status
Subject Étang de Bages-Sigean E431522 entity
Predicate near P350 FINISHED
Object Bages NE NERFINISHED

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: Bages | Statement: [Étang de Bages-Sigean, near, Bages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bages
Context triple: [Étang de Bages-Sigean, near, Bages]
  • A. Bages
    Bages is a central comarca (county) in Catalonia, Spain, known for its historic town of Manresa and its mix of industrial, agricultural, and natural landscapes.
  • B. Bages chosen
    Bages is a small commune in the Pyrénées-Orientales department of southern France, known for its traditional village character and proximity to the Mediterranean coast.
  • C. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • D. Bessas
    Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
  • E. Baras
    Baras is a coastal municipality located on the island province of Catanduanes in the Philippines, known for its rural communities and Pacific shoreline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3a80508190b667c3f6d14f5c84 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.