Triple

T8881698
Position Surface form Disambiguated ID Type / Status
Subject Santiago do Cacém E211425 entity
Predicate hasPart P35 FINISHED
Object Abela
Abela is a small civil parish in the municipality of Santiago do Cacém in Portugal’s Alentejo region.
 E764209 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: Abela | Statement: [Santiago do Cacém, hasPart, Abela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abela
Context triple: [Santiago do Cacém, hasPart, Abela]
  • A. Támara
    Támara is a small rural municipality in eastern Colombia known for its agricultural economy and location in the Andean foothills of the Casanare region.
  • B. Rovereta
    Rovereta is a locality within the castello (municipality) of Serravalle in the Republic of San Marino, known for its industrial and commercial activities.
  • C. Aelia
    Aelia was a Roman noblewoman best known as an early wife of the powerful Roman general and dictator Lucius Cornelius Sulla.
  • D. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • E. Abele
    Abele is a surname most notably associated with Julian Abele, a pioneering African American architect who contributed to the design of many prominent buildings in the early 20th century.
  • 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: Abela
Triple: [Santiago do Cacém, hasPart, Abela]
Generated description
Abela is a small civil parish in the municipality of Santiago do Cacém in Portugal’s Alentejo region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abela
Target entity description: Abela is a small civil parish in the municipality of Santiago do Cacém in Portugal’s Alentejo region.
  • A. Támara
    Támara is a small rural municipality in eastern Colombia known for its agricultural economy and location in the Andean foothills of the Casanare region.
  • B. Rovereta
    Rovereta is a locality within the castello (municipality) of Serravalle in the Republic of San Marino, known for its industrial and commercial activities.
  • C. Aelia
    Aelia was a Roman noblewoman best known as an early wife of the powerful Roman general and dictator Lucius Cornelius Sulla.
  • D. Elissar
    Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
  • E. Abele
    Abele is a surname most notably associated with Julian Abele, a pioneering African American architect who contributed to the design of many prominent buildings in the early 20th century.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabca74888190934593d6504fbed1 completed April 3, 2026, noon
NEDg Description generation batch_69cfac9c743c8190a26f753111f07281 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad54cf5c81908558fd4c21f2f3b6 completed April 3, 2026, 12:06 p.m.
Created at: March 30, 2026, 6:53 p.m.