Triple
T25040424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ES-PV |
E627090
|
entity |
| Predicate | hasDistinctCulturalIdentity |
P23361
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ES-PV, hasDistinctCulturalIdentity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistinctCulturalIdentity Context triple: [ES-PV, hasDistinctCulturalIdentity, true]
-
A.
hasDistinctCulturalHeritage
chosen
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
B.
hasStrongCulturalIdentity
Indicates that an entity possesses a well-defined, deeply rooted, and strongly maintained sense of belonging to a particular culture or cultural tradition.
-
C.
hasDistinctCultureFrom
Indicates that the culture of one entity is different and distinguishable from the culture of another entity.
-
D.
culturalIdentityTiedTo
Indicates that an entity’s cultural identity is closely connected or strongly associated with another specified entity or context.
-
E.
isCulturalDistinction
Indicates that one entity is recognized as a distinguishing cultural feature or marker in comparison to another entity 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 18, 2026, 6:08 a.m.