Triple

T8192248
Position Surface form Disambiguated ID Type / Status
Subject Province of Toledo E191338 entity
Predicate contains P35 FINISHED
Object Ocaña
Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
 E723893 NE FINISHED

How this triple was built (4 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: Ocaña | Statement: [Province of Toledo, contains, Ocaña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ocaña
Context triple: [Province of Toledo, contains, Ocaña]
  • A. Ocaña
    Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
  • B. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • C. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • D. Rabassa
    Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
  • E. Valle del Guadalhorce
    Valle del Guadalhorce is an inland region of Málaga in southern Spain known for its fertile river valley, citrus and olive groves, and traditional Andalusian towns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ocaña
Triple: [Province of Toledo, contains, Ocaña]
Generated description
Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ocaña
Target entity description: Ocaña is a historic town in central Spain known for its large Plaza Mayor and its role as a regional cultural and commercial center.
  • A. Ocaña
    Ocaña is a historic city in northeastern Colombia known for its colonial architecture and role in the country’s independence-era events.
  • B. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • C. Nalón
    The Nalón is a major river in Asturias, northern Spain, known for flowing through mountainous landscapes and historically supporting regional industry and mining.
  • D. Rabassa
    Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
  • E. Valle del Guadalhorce
    Valle del Guadalhorce is an inland region of Málaga in southern Spain known for its fertile river valley, citrus and olive groves, and traditional Andalusian towns.
  • F. None of above. chosen

Provenance (5 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da4a6f08190be8088a28d928341 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67c5853c8190843e7520f3be73b2 completed April 1, 2026, 6:45 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7dd65fac8190b8f44b1cf2be7bdd completed April 1, 2026, 8:19 p.m.
Created at: March 30, 2026, 5:42 p.m.