Triple
T16025198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salón de Banquetes |
E388699
|
entity |
| Predicate | esUnoDe |
P35467
|
FINISHED |
| Object | espacios ceremoniales principales del Palacio Nacional de la Cultura |
—
|
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: espacios ceremoniales principales del Palacio Nacional de la Cultura | Statement: [Salón de Banquetes, esUnoDe, espacios ceremoniales principales del Palacio Nacional de la Cultura]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: esUnoDe Context triple: [Salón de Banquetes, esUnoDe, espacios ceremoniales principales del Palacio Nacional de la Cultura]
-
A.
oneOfNine
Indicates that the subject is exactly one member of a specific group or set containing nine distinct options.
-
B.
ElPrimeroType
Indicates that one entity is identified or classified as the first or primary type within a defined ordering or category.
-
C.
oneOfFew
Indicates that the subject is one member of a small, limited set of entities that share a specified property or role.
-
D.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
E.
oneOfFewIn
chosen
Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, or context.
- F. None of above.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.