Triple

T24641644
Position Surface form Disambiguated ID Type / Status
Subject Calle de Zorrilla E609981 entity
Predicate locatedInGovernmentArea P74637 FINISHED
Object Cortes district
Cortes district is a central neighborhood in Madrid, Spain, known for its historic streets, cultural institutions, and proximity to major government buildings.
 E1645139 NE FINISHED

How this triple was built (3 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: Cortes district | Statement: [Calle de Zorrilla, locatedInGovernmentArea, Cortes district]
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: Cortes district
Triple: [Calle de Zorrilla, locatedInGovernmentArea, Cortes district]
Generated description
Cortes district is a central neighborhood in Madrid, Spain, known for its historic streets, cultural institutions, and proximity to major government buildings.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locatedInGovernmentArea
Context triple: [Calle de Zorrilla, locatedInGovernmentArea, Cortes district]
  • A. locatedInGovernmentBody
    Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
  • B. locatedNearGovernmentDistrict
    Indicates that one entity is situated close to or in the immediate vicinity of a government district.
  • C. locatedInTheGovernmentBuilding
    Indicates that one entity is situated within or inside a government-owned or government-operated building.
  • D. locatedInRegionalCouncil
    Indicates that one entity is geographically situated within the jurisdictional area governed by a specific regional council.
  • E. localGovernmentAreaOf chosen
    Indicates that one entity is the local government area within whose jurisdiction or administrative boundaries the other entity is located.
  • F. None of above.

Provenance (6 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_69e2c4d28f848190ac38c400060e943d completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40db2b5e08190bb55d02a4ceba306 completed May 1, 2026, 2:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1004923a94819093a4d3bce5dd4ea9 completed May 22, 2026, 7:24 a.m.
NEDg Description generation batch_6a10079f208c81908f5683ebb2401950 completed May 22, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_6a100857ceec81909d4a9169cb7cafe3 completed May 22, 2026, 7:40 a.m.
PD Predicate disambiguation batch_69f2a6d2b20881908dcc3b15cbe3e5b0 completed April 30, 2026, 12:48 a.m.
Created at: April 18, 2026, 2:33 a.m.