Triple

T8206813
Position Surface form Disambiguated ID Type / Status
Subject Costa da Morte E191707 entity
Predicate contains P35 FINISHED
Object Ponteceso
Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
 E726833 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: Ponteceso | Statement: [Costa da Morte, contains, Ponteceso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ponteceso
Context triple: [Costa da Morte, contains, Ponteceso]
  • A. Albuccione
    Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • B. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • C. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • D. Mesta
    Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
  • E. Posoltega
    Posoltega is a municipality in western Nicaragua known for its agricultural economy and its location near the active Casita volcano.
  • 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: Ponteceso
Triple: [Costa da Morte, contains, Ponteceso]
Generated description
Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ponteceso
Target entity description: Ponteceso is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic shoreline and traditional Galician culture.
  • A. Albuccione
    Albuccione is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • B. Santena
    Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
  • C. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • D. Mesta
    Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
  • E. Posoltega
    Posoltega is a municipality in western Nicaragua known for its agricultural economy and its location near the active Casita volcano.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726b520081908ce4a03bd14dfcdf completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94c7db688190a755d0143c71c2b2 completed April 1, 2026, 9:57 p.m.
NEDg Description generation batch_69cdb20cc18081908269516e49ce0fd3 completed April 2, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69cdb44ff9a88190bbcb4a56f9b44dc1 completed April 2, 2026, 12:12 a.m.
Created at: March 30, 2026, 5:43 p.m.