Triple
T28907930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teatro Nacional Cervantes |
E733135
|
entity |
| Predicate | hasNationalTheatreStatusSince |
P193302
|
FINISHED |
| Object | 1920s |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 1920s | Statement: [Teatro Nacional Cervantes, hasNationalTheatreStatusSince, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalTheatreStatusSince Context triple: [Teatro Nacional Cervantes, hasNationalTheatreStatusSince, 1920s]
-
A.
isNationalTheatreOf
Indicates that a theatre serves as the official national theatre of a specified country or nation.
-
B.
hasMunicipalTheatre
Indicates that a place or administrative entity possesses or contains a municipal theatre as one of its facilities.
-
C.
theatreOpened
Indicates that a theatre began operating or was officially opened at a particular time or event.
-
D.
theatreNamedAfter
Indicates that a theatre bears the name of a particular person, place, or entity in whose honor or reference it is named.
-
E.
municipalTheatre
Indicates that a theatre is designated, owned, or operated as a municipal (city- or town-run) institution.
- F. None of above. chosen
Provenance (4 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_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: April 28, 2026, 8:09 a.m.