Triple

T9910642
Position Surface form Disambiguated ID Type / Status
Subject Santpedor E185131 entity
Predicate locatedIn P40 FINISHED
Object Bages E250809 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: Bages | Statement: [Santpedor, locatedIn, Bages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bages
Context triple: [Santpedor, locatedIn, Bages]
  • A. Bages chosen
    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. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • C. Bessas
    Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
  • D. Bessude
    Bessude is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • E. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb512a26881908eb72a21ffb1efef completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dbfa89881909ea6bbcfcf6fc08f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.