Triple

T10566992
Position Surface form Disambiguated ID Type / Status
Subject Fonce River E249375 entity
Predicate flowsThrough P225 FINISHED
Object Charalá E703643 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: Charalá | Statement: [Fonce River, flowsThrough, Charalá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charalá
Context triple: [Fonce River, flowsThrough, Charalá]
  • A. Charalá chosen
    Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
  • B. Chalayan
    Chalayan is the surname of Hussein Chalayan, a renowned fashion designer known for his innovative, concept-driven and technologically experimental work.
  • C. Charun
    Charun is a death-associated figure in Etruscan religion, often depicted as a fearsome guardian or guide of the underworld.
  • D. Charcas
    Charcas is the former name of the Bolivian city now known as Sucre, a historic colonial center and constitutional capital of Bolivia.
  • E. Lizarra
    Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ef5848190b76d671ea2d26314 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b42879481909f9c98b2579c10a1 completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:36 p.m.