Triple
T968967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montagnards |
E20901
|
entity |
| Predicate | governmentTypeSupported |
P22518
|
FINISHED |
| Object | republic |
—
|
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: republic | Statement: [Montagnards, governmentTypeSupported, republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeSupported Context triple: [Montagnards, governmentTypeSupported, republic]
-
A.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
governingBodyOfType
Indicates that an entity serves as the official governing body for another entity of a specified type or category.
-
C.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
D.
hasLegislatureType
Indicates the specific form or system of legislature that an entity possesses or operates under.
-
E.
targetCountryGovernment
Indicates that a government is the primary focus or object of an action, policy, or relationship directed toward a specific country.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4481f508190adcf0a965a23862c |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a579888190afb489ac9fe8391c |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.