Triple

T22758735
Position Surface form Disambiguated ID Type / Status
Subject Ribera Baja del Ebro comarca E562923 entity
Predicate containsMunicipality P852 FINISHED
Object La Zaida
La Zaida is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
 E1553205 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: La Zaida | Statement: [Ribera Baja del Ebro comarca, containsMunicipality, La Zaida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Zaida
Context triple: [Ribera Baja del Ebro comarca, containsMunicipality, La Zaida]
  • A. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • B. La Muña
    La Muña is an archaeological site located within Peru’s Nazca drainage region, associated with the ancient cultures that inhabited the south-central Andean coast.
  • C. La Nena
    "La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
  • D. Carmencita
    Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
  • E. The Spanish Dancer
    "The Spanish Dancer" is a 1923 silent historical drama film set in Spain, best known for showcasing actress Jetta Goudal in one of her most prominent early screen roles.
  • 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: La Zaida
Triple: [Ribera Baja del Ebro comarca, containsMunicipality, La Zaida]
Generated description
La Zaida is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Zaida
Target entity description: La Zaida is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, northeastern Spain.
  • A. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • B. La Muña
    La Muña is an archaeological site located within Peru’s Nazca drainage region, associated with the ancient cultures that inhabited the south-central Andean coast.
  • C. La Nena
    "La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
  • D. Carmencita
    Carmencita is a Spanish feminine given name, commonly used as an affectionate diminutive of Carmen.
  • E. The Spanish Dancer
    "The Spanish Dancer" is a 1923 silent historical drama film set in Spain, best known for showcasing actress Jetta Goudal in one of her most prominent early screen roles.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7a8ca481909953dcd6fbcc5fcf completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b981716888190b86a60cd134ee6eb completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b9903c4488190943f4fd15b17bc70 completed May 18, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0b99b6e7e88190995319351374f97c completed May 18, 2026, 10:59 p.m.
Created at: April 17, 2026, 3:25 p.m.