Triple
T32288884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taghazout Bay golf course |
E824908
|
entity |
| Predicate | tertiaryLanguageEnvironment |
P16186
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Taghazout Bay golf course, tertiaryLanguageEnvironment, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tertiaryLanguageEnvironment Context triple: [Taghazout Bay golf course, tertiaryLanguageEnvironment, English]
-
A.
tertiaryLanguageOfOperation
Indicates that an entity uses a specified language as its third most prominent or prioritized language of operation.
-
B.
tertiaryLanguageOfSignage
chosen
Indicates that a language is used as the third-most prominent language on signage in a given context or location.
-
C.
languageOfEnvironment
Indicates the language predominantly used or present in a given environment or context.
-
D.
nationalLanguageEnvironment
Indicates the relationship between a country or region and the language(s) that function as the primary or officially recognized means of communication in that environment.
-
E.
secondaryLanguageContext
Indicates that the associated information, interaction, or content occurs within or is tailored to a secondary (non-primary) language setting or usage 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bd31dc488190aac7229e92312390 |
completed | May 3, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:44 a.m.