Triple

T3663749
Position Surface form Disambiguated ID Type / Status
Subject Estremoz E77710 entity
Predicate locatedNear P294 FINISHED
Object Borba
Borba is a town and municipality in Portugal’s Alentejo region, noted for its wine production and marble quarries.
E378684 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: Borba | Statement: [Estremoz, locatedNear, Borba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borba
Context triple: [Estremoz, locatedNear, Borba]
  • A. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • B. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • E. Itabaiana
    Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
  • 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: Borba
Triple: [Estremoz, locatedNear, Borba]
Generated description
Borba is a town and municipality in Portugal’s Alentejo region, noted for its wine production and marble quarries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Borba
Target entity description: Borba is a town and municipality in Portugal’s Alentejo region, noted for its wine production and marble quarries.
  • A. Canindé
    Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
  • B. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • C. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • D. Combarbalá
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • E. Itabaiana
    Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48848be788190acde46880918d36b completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b489c9a21081908b5e6468205e5c68 completed March 13, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b4bcaa45cc8190a5db8bfd8845efb1 completed March 14, 2026, 1:40 a.m.
Created at: March 8, 2026, 3:25 p.m.