Triple

T22671505
Position Surface form Disambiguated ID Type / Status
Subject Campo de Borja (comarca) E560228 entity
Predicate hasPart P35 FINISHED
Object Talamantes
Talamantes is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the Campo de Borja wine-producing region.
 E1550659 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: Talamantes | Statement: [Campo de Borja (comarca), hasPart, Talamantes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talamantes
Context triple: [Campo de Borja (comarca), hasPart, Talamantes]
  • A. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • B. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • C. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • D. Betanzos
    Betanzos is a historic town in Galicia, Spain, known for its well-preserved medieval quarter and traditional festivals.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Talamantes
Triple: [Campo de Borja (comarca), hasPart, Talamantes]
Generated description
Talamantes is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the Campo de Borja wine-producing region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talamantes
Target entity description: Talamantes is a small municipality in the province of Zaragoza, Aragon, Spain, known for its rural character and location within the Campo de Borja wine-producing region.
  • A. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • B. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • C. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • D. Betanzos
    Betanzos is a historic town in Galicia, Spain, known for its well-preserved medieval quarter and traditional festivals.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ec74838819083bacef532ba41c4 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b814ba2548190bd8ce63965d001a7 completed May 18, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0b81e0d78c8190bb29aca998216120 completed May 18, 2026, 9:17 p.m.
Created at: April 17, 2026, 3:10 p.m.