Triple

T22671450
Position Surface form Disambiguated ID Type / Status
Subject Cinco Villas comarca E560227 entity
Predicate contains P35 FINISHED
Object Longás
Longás is a small rural municipality in the province of Zaragoza, Aragon, Spain, situated in the historic Cinco Villas region.
E1548390 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: Longás | Statement: [Cinco Villas comarca, contains, Longás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Longás
Context triple: [Cinco Villas comarca, contains, Longás]
  • A. Elizondo
    Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
  • B. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • C. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • D. Lope
    Lope is a Spanish given name of medieval origin, historically borne by figures such as the playwright Lope de Vega.
  • E. Malauzat
    Malauzat is a small commune in the Puy-de-Dôme department of central France, situated within the Auvergne region.
  • 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: Longás
Triple: [Cinco Villas comarca, contains, Longás]
Generated description
Longás is a small rural municipality in the province of Zaragoza, Aragon, Spain, situated in the historic Cinco Villas region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Longás
Target entity description: Longás is a small rural municipality in the province of Zaragoza, Aragon, Spain, situated in the historic Cinco Villas region.
  • A. Elizondo
    Elizondo is a Spanish-origin surname borne by various notable individuals, including American actor Héctor Elizondo.
  • B. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • C. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • D. Lope
    Lope is a Spanish given name of medieval origin, historically borne by figures such as the playwright Lope de Vega.
  • E. Malauzat
    Malauzat is a small commune in the Puy-de-Dôme department of central France, situated within the Auvergne region.
  • 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_6a0b73eb35c4819083a5de1f2979b521 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b745f36708190af2a61f501c18c78 completed May 18, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0b74ebf8c08190bc3f2bd0b442ef9c completed May 18, 2026, 8:22 p.m.
Created at: April 17, 2026, 3:10 p.m.