Triple
T35824786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aragonese-Catalan sphere |
E1035610
|
entity |
| Predicate | hasCoreCulture |
P69709
|
FINISHED |
| Object | Catalan-speaking territories |
E285352
|
NE 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: Catalan-speaking territories | Statement: [Aragonese-Catalan sphere, hasCoreCulture, Catalan-speaking territories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreCulture Context triple: [Aragonese-Catalan sphere, hasCoreCulture, Catalan-speaking territories]
-
A.
hasCulturalCore
chosen
Indicates that one entity embodies or provides the central cultural values, practices, or identity that fundamentally define another entity.
-
B.
hasCoreLanguages
Indicates that an entity is associated with one or more primary or foundational languages that are central to its function or definition.
-
C.
hasCore
Indicates that one entity possesses, contains, or is built around a central or most essential component represented by another entity.
-
D.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
E.
hasCustomizationCulture
Indicates that one entity fosters or embodies a culture, practice, or norm of customizing or tailoring products, services, or experiences for another entity.
- F. None of above.
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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c17c5c081909454c95e8ab85e8f |
completed | June 22, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.