Triple

T28907909
Position Surface form Disambiguated ID Type / Status
Subject Teatro Nacional Cervantes E733135 entity
Predicate hasMainAuditoriumName P6080 FINISHED
Object Sala María Guerrero
Sala María Guerrero is the principal auditorium of Argentina’s Teatro Nacional Cervantes, renowned as a central venue for major theatrical productions in Buenos Aires.
 E1840999 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: Sala María Guerrero | Statement: [Teatro Nacional Cervantes, hasMainAuditoriumName, Sala María Guerrero]
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: Sala María Guerrero
Triple: [Teatro Nacional Cervantes, hasMainAuditoriumName, Sala María Guerrero]
Generated description
Sala María Guerrero is the principal auditorium of Argentina’s Teatro Nacional Cervantes, renowned as a central venue for major theatrical productions in Buenos Aires.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMainAuditoriumName
Context triple: [Teatro Nacional Cervantes, hasMainAuditoriumName, Sala María Guerrero]
  • A. hasAuditorium
    Indicates that one entity possesses or includes an auditorium as part of its facilities.
  • B. hasMainHall chosen
    Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
  • C. hasGrandHall
    Indicates that an entity possesses or includes a grand hall as part of its structure or facilities.
  • D. hasMainHallType
    Indicates the specific category or kind of main hall associated with an entity.
  • E. auditoriumType
    Indicates the specific kind or category of auditorium associated with an entity.
  • 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_69f05b096d208190958a57d2e4b5a93a completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69fef3ceef648190b58027c93d757438 completed May 9, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a24ec36a5088190a7ace42b4c09463e completed June 7, 2026, 3:57 a.m.
NEDg Description generation batch_6a24f0d0d1b48190a09dad05dad17b13 completed June 7, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a24f131b8488190be3666a4818bd0b8 completed June 7, 2026, 4:18 a.m.
PD Predicate disambiguation batch_69fef359da2c819091a034387b08821f completed May 9, 2026, 8:42 a.m.
Created at: April 28, 2026, 8:09 a.m.