Triple

T22671549
Position Surface form Disambiguated ID Type / Status
Subject Comunidad de Calatayud comarca E560229 entity
Predicate contains P35 FINISHED
Object Morés
Morés is a small municipality in the province of Zaragoza, Aragon, Spain.
 E1550663 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: Morés | Statement: [Comunidad de Calatayud comarca, contains, Morés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morés
Context triple: [Comunidad de Calatayud comarca, contains, Morés]
  • A. Pisatis
    Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
  • B. Mercouri
    Mercouri is a Greek surname most famously associated with Melina Mercouri, the renowned actress, singer, and politician.
  • C. Helenio
    Helenio is a masculine given name most famously associated with the influential Argentine-Italian football manager Helenio Herrera.
  • D. Macedo
    Macedo is a Portuguese-origin surname commonly found in Portuguese-speaking countries such as Portugal and Brazil.
  • E. Argante
    Argante is a character from Italian Renaissance epic poetry, notably appearing as a fierce Saracen warrior in Torquato Tasso’s "Jerusalem Delivered."
  • 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: Morés
Triple: [Comunidad de Calatayud comarca, contains, Morés]
Generated description
Morés is a small municipality in the province of Zaragoza, Aragon, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morés
Target entity description: Morés is a small municipality in the province of Zaragoza, Aragon, Spain.
  • A. Pisatis
    Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
  • B. Mercouri
    Mercouri is a Greek surname most famously associated with Melina Mercouri, the renowned actress, singer, and politician.
  • C. Helenio
    Helenio is a masculine given name most famously associated with the influential Argentine-Italian football manager Helenio Herrera.
  • D. Macedo
    Macedo is a Portuguese-origin surname commonly found in Portuguese-speaking countries such as Portugal and Brazil.
  • E. Argante
    Argante is a character from Italian Renaissance epic poetry, notably appearing as a fierce Saracen warrior in Torquato Tasso’s "Jerusalem Delivered."
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7ec74838819083bacef532ba41c4 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b814ba2548190bd8ce63965d001a7 completed May 18, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0b81e0d78c8190bb29aca998216120 completed May 18, 2026, 9:17 p.m.
Created at: April 17, 2026, 3:10 p.m.