Triple

T24007651
Position Surface form Disambiguated ID Type / Status
Subject Calle de Atocha E594433 entity
Predicate hasCulturalSiteAlong P28782 FINISHED
Object Teatro Calderón
Teatro Calderón is a historic Madrid theater renowned for its grand architecture and prominent role in the city’s performing arts scene.
E1623975 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: Teatro Calderón | Statement: [Calle de Atocha, hasCulturalSiteAlong, Teatro Calderón]
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: Teatro Calderón
Triple: [Calle de Atocha, hasCulturalSiteAlong, Teatro Calderón]
Generated description
Teatro Calderón is a historic Madrid theater renowned for its grand architecture and prominent role in the city’s performing arts scene.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCulturalSiteAlong
Context triple: [Calle de Atocha, hasCulturalSiteAlong, Teatro Calderón]
  • A. hasCulturalHeritageOn
    Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
  • B. culturalSite chosen
    Indicates that one entity is recognized or designated as a cultural site associated with or located in relation to another entity.
  • C. hasCulturalSiteType
    Indicates that an entity is associated with, or classified by, a specific type or category of cultural site.
  • D. hasArchaeologicalSitesFrom
    Indicates that an entity contains or is associated with archaeological sites dating from a specified time period or era.
  • E. hasTraditionalCulturalSites
    Indicates that an entity possesses or is associated with locations recognized for their traditional or culturally significant heritage.
  • 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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d46ba1f88190a204d8cfb0f64be6 completed April 29, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbcf591e08190a97da09a9df6f205 completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbdf3fc5c8190b8dc7e5c2416b02b completed May 22, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbe7e12188190803c1954112de4e6 completed May 22, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:40 p.m.