Triple
T3649150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokutsan languages |
E77375
|
entity |
| Predicate | subclassificationStatus |
P50022
|
FINISHED |
| Object | controversial |
—
|
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: controversial | Statement: [Yokutsan languages, subclassificationStatus, controversial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subclassificationStatus Context triple: [Yokutsan languages, subclassificationStatus, controversial]
-
A.
isClassifiedUnder
Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
-
B.
classifiedStatusAtCreation
Indicates that an entity’s classification level or status (e.g., security or confidentiality classification) at the time it was created is being specified.
-
C.
countrySubdivisionStatus
Indicates the administrative or political status assigned to a specific subdivision within a country (such as state, province, or territory).
-
D.
standardizationStatus
Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
-
E.
categoryStatus
Indicates the current state or condition assigned to a category within a given system or context.
- F. None of above. chosen
Provenance (4 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.