Triple

T3260980
Position Surface form Disambiguated ID Type / Status
Subject Naval Military School of Marín E68407 entity
Predicate locatedIn P40 FINISHED
Object Marín
Marín is a coastal town in the province of Pontevedra, Galicia, Spain, known for its naval traditions and as a base of the Spanish Navy.
 E342841 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: Marín | Statement: [Naval Military School of Marín, locatedIn, Marín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marín
Context triple: [Naval Military School of Marín, locatedIn, Marín]
  • A. Cabrero
    Cabrero is a small Chilean city located in the Biobío Region, known for its agricultural activities and role as a local transport and services hub.
  • B. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • C. Dorado
    Dorado is a southern sky constellation known for containing most of the Large Magellanic Cloud and the southern portion of the Milky Way’s satellite galaxy.
  • D. Peraia
    Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
  • E. Navalcarnero
    Navalcarnero is a historic town and municipality in central Spain known for its traditional architecture, wine production, and location southwest of Madrid.
  • 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: Marín
Triple: [Naval Military School of Marín, locatedIn, Marín]
Generated description
Marín is a coastal town in the province of Pontevedra, Galicia, Spain, known for its naval traditions and as a base of the Spanish Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marín
Target entity description: Marín is a coastal town in the province of Pontevedra, Galicia, Spain, known for its naval traditions and as a base of the Spanish Navy.
  • A. Cabrero
    Cabrero is a small Chilean city located in the Biobío Region, known for its agricultural activities and role as a local transport and services hub.
  • B. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • C. Dorado
    Dorado is a southern sky constellation known for containing most of the Large Magellanic Cloud and the southern portion of the Milky Way’s satellite galaxy.
  • D. Peraia
    Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
  • E. Navalcarnero
    Navalcarnero is a historic town and municipality in central Spain known for its traditional architecture, wine production, and location southwest of Madrid.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ede248c8190b5a1f9403787361c completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b2966f189c8190bb56daea54be8a93 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.