Triple
T21461123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Vía cinemas |
E529474
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Cines Capitol |
—
|
NE NERFINISHED |
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: Cines Capitol | Statement: [Gran Vía cinemas, hasPart, Cines Capitol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cines Capitol Context triple: [Gran Vía cinemas, hasPart, Cines Capitol]
-
A.
Capitol Cinema
Capitol Cinema is a historic movie theater located within Madrid’s iconic Edificio Carrión on Gran Vía, known for its Art Deco architecture and cultural significance.
-
B.
cinema Capitol
chosen
Cinema Capitol is a historic movie theater located within Madrid’s iconic Edificio Carrión on Gran Vía, known for its prominent presence in the city’s cultural and architectural landscape.
-
C.
Cinema City
Cinema City is a European cinema chain brand operated by Cineworld Group, known for its multiplex movie theaters across several countries.
-
D.
Regal Cinema
Regal Cinema is a historic art deco movie theatre in Mumbai, India, known as one of the city’s earliest and most iconic cinema halls.
-
E.
Regal Cinemas
Regal Cinemas is a major American movie theater chain known for operating multiplex cinemas across the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ee10ec8190a606aa64001af35e |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:09 p.m.