Triple
T10331458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ijevan Wine-Brandy Factory |
E242882
|
entity |
| Predicate | languageOfLabeling |
P50222
|
FINISHED |
| Object | Armenian |
—
|
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: Armenian | Statement: [Ijevan Wine-Brandy Factory, languageOfLabeling, Armenian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLabeling Context triple: [Ijevan Wine-Brandy Factory, languageOfLabeling, Armenian]
-
A.
languageLabel
chosen
Indicates the human-readable name or label of a language associated with an entity or resource.
-
B.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original language.
-
C.
languageOfRecords
Indicates the language in which the records are written or maintained.
-
D.
languageOfSignage
Indicates the language used on signs or written displays associated with an entity.
-
E.
languageOfLetters
Indicates that one entity is the language in which the other entity’s letters or written correspondence are composed.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fcaf4c8190bdcfcb953d88ea2f |
completed | April 7, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f760e88190abea6dcc4f04f2c1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:52 a.m.