Triple
T33873645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distribution Company of Argentina |
E868291
|
entity |
| Predicate | hasLanguageRegionFocus |
P99174
|
FINISHED |
| Object | Spanish-language films |
—
|
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 films | Statement: [Distribution Company of Argentina, hasLanguageRegionFocus, Spanish-language films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageRegionFocus Context triple: [Distribution Company of Argentina, hasLanguageRegionFocus, Spanish-language films]
-
A.
hasLanguageRegionContext
Indicates that something is associated with or situated within a specific linguistic or language-region context.
-
B.
languageRegionFocus
chosen
Indicates that something (such as a work, resource, or activity) is primarily concerned with or targeted toward a specific geographic region in terms of language use or linguistic focus.
-
C.
hasPrimaryFocusRegion
Indicates that something is chiefly concerned with, centered on, or directed toward a particular geographic or spatial region.
-
D.
alsoInLanguageRegion
Indicates that two or more entities are located within or associated with the same language-defined geographic region.
-
E.
operatorLanguageRegion
Indicates the geographic region or locale in which an operator’s language is used or applicable.
- 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_69f34995029081909ede0f7df73d1a5e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
Created at: May 1, 2026, 1:47 a.m.