Triple
T9226167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estación Metro Chapultepec |
E221686
|
entity |
| Predicate | isCulturalAreaAccess |
P87683
|
FINISHED |
| Object | sí |
—
|
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: sí | Statement: [Estación Metro Chapultepec, isCulturalAreaAccess, sí]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCulturalAreaAccess Context triple: [Estación Metro Chapultepec, isCulturalAreaAccess, sí]
-
A.
culturalAreaIncludes
Indicates that a broader cultural area encompasses or contains a smaller cultural region or entity within its scope.
-
B.
isCulturalCenter
Indicates that an entity serves as a primary hub or focal point for the cultural activities, expressions, and institutions of a community or region.
-
C.
isCulturalCenterFor
Indicates that one entity serves as a primary hub or focal point for the cultural activities, heritage, or identity of another entity.
-
D.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
-
E.
hasCulturalProperty
Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9ecef48190b8aa0e316d07cec7 |
completed | April 1, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69cc95597be081908ece2491dd2f0f74 |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:28 p.m.