Triple

T14606501
Position Surface form Disambiguated ID Type / Status
Subject Province of Pontevedra E342842 entity
Predicate contains P35 FINISHED
Object Moaña
Moaña is a coastal town and municipality in Galicia, northwestern Spain, situated on the shores of the Ría de Vigo.
 E1108291 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: Moaña | Statement: [Province of Pontevedra, contains, Moaña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moaña
Context triple: [Province of Pontevedra, contains, Moaña]
  • A. Maravatío
    Maravatío is a municipality and town in the state of Michoacán, Mexico, known for its colonial heritage and agricultural economy.
  • B. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • E. Catamayo
    Catamayo is a significant urban center in southern Ecuador known for its agricultural production and proximity to the city of Loja.
  • 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: Moaña
Triple: [Province of Pontevedra, contains, Moaña]
Generated description
Moaña is a coastal town and municipality in Galicia, northwestern Spain, situated on the shores of the Ría de Vigo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moaña
Target entity description: Moaña is a coastal town and municipality in Galicia, northwestern Spain, situated on the shores of the Ría de Vigo.
  • A. Maravatío
    Maravatío is a municipality and town in the state of Michoacán, Mexico, known for its colonial heritage and agricultural economy.
  • B. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • E. Catamayo
    Catamayo is a significant urban center in southern Ecuador known for its agricultural production and proximity to the city of Loja.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d09e988190a2a2a1332397b412 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd9828129c8190bd7445e99dadc618 completed May 8, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69fd98cf0bcc81909dac826a32daaf04 completed May 8, 2026, 8:03 a.m.
Created at: April 10, 2026, 1:25 a.m.