Triple

T4430678
Position Surface form Disambiguated ID Type / Status
Subject Muret E95319 entity
Predicate hasTwinTown P919 FINISHED
Object Monzón
Monzón is a historic town in the province of Huesca, Aragon, Spain, known for its medieval castle and role in the Crown of Aragon.
 E449728 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: Monzón | Statement: [Muret, hasTwinTown, Monzón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monzón
Context triple: [Muret, hasTwinTown, Monzón]
  • A. Ayamonte
    Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
  • B. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • C. Jerez de la Frontera
    Jerez de la Frontera is a historic city in southwestern Spain renowned for its sherry wine production, flamenco heritage, and equestrian traditions.
  • D. Quarteira
    Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
  • E. Huelva
    Huelva is a coastal city and province in southwestern Spain known for its Andalusian culture, Atlantic beaches, and historical ties to Christopher Columbus’s voyages.
  • 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: Monzón
Triple: [Muret, hasTwinTown, Monzón]
Generated description
Monzón is a historic town in the province of Huesca, Aragon, Spain, known for its medieval castle and role in the Crown of Aragon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monzón
Target entity description: Monzón is a historic town in the province of Huesca, Aragon, Spain, known for its medieval castle and role in the Crown of Aragon.
  • A. Ayamonte
    Ayamonte is a Spanish border town in the province of Huelva, Andalusia, situated at the mouth of the Guadiana River opposite Portugal.
  • B. Fuentealbilla
    Fuentealbilla is a small municipality in the province of Albacete, Spain, best known as the hometown of footballer Andrés Iniesta.
  • C. Jerez de la Frontera
    Jerez de la Frontera is a historic city in southwestern Spain renowned for its sherry wine production, flamenco heritage, and equestrian traditions.
  • D. Quarteira
    Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
  • E. Huelva
    Huelva is a coastal city and province in southwestern Spain known for its Andalusian culture, Atlantic beaches, and historical ties to Christopher Columbus’s voyages.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35569b3388190bdef2568f5dc04ce completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69bda41426ec8190a239da38bd3643fd completed March 20, 2026, 7:46 p.m.
NEDg Description generation batch_69bda5e9ccc48190bfde05c935db0ef6 completed March 20, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69bda635f8d8819095604fdeab5e39e7 completed March 20, 2026, 7:55 p.m.
Created at: March 12, 2026, 11:31 p.m.