Triple
T858204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair K |
E18540
|
entity |
| Predicate | languageDomain |
P11734
|
FINISHED |
| Object | Spanish language |
—
|
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: Spanish language | Statement: [Chair K, languageDomain, Spanish language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageDomain Context triple: [Chair K, languageDomain, Spanish language]
-
A.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
B.
locale
Indicates that one entity is the place, setting, or geographic area in which another entity exists, occurs, or is situated.
-
C.
languageProvision
chosen
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
D.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
E.
languageZone
Indicates the linguistic region or area in which a language is predominantly used or officially recognized.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4f740881909cb59a6c18a77af3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.