Triple
T5961997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badiot |
E132659
|
entity |
| Predicate | hasISO639Status |
P25082
|
FINISHED |
| Object | no separate ISO 639 code |
—
|
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: no separate ISO 639 code | Statement: [Badiot, hasISO639Status, no separate ISO 639 code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasISO639Status Context triple: [Badiot, hasISO639Status, no separate ISO 639 code]
-
A.
ISO639Status
chosen
Indicates the classification of a language’s status according to the ISO 639 standard (e.g., whether and how it is recognized or coded in that system).
-
B.
hasISO6393Code
Indicates that a language or linguistic entity is associated with a specific ISO 639-3 three-letter language code.
-
C.
hasISO639_5Code
Indicates that a language or language group is associated with a specific ISO 639-5 code that identifies it within the ISO 639-5 language classification standard.
-
D.
ISO639_3Status
Indicates the classification or status assigned to a language according to the ISO 639-3 standard (e.g., active, extinct, historical, constructed).
-
E.
hasLanguageStatus
Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.