Triple
T32413456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legal Framework Order, 2002 |
E828283
|
entity |
| Predicate | governingRegimeType |
P220
|
FINISHED |
| Object | military government |
—
|
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: military government | Statement: [Legal Framework Order, 2002, governingRegimeType, military government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingRegimeType Context triple: [Legal Framework Order, 2002, governingRegimeType, military government]
-
A.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
C.
typeOfSelfGovernment
Indicates the specific form or system of self-governance exercised by an entity, such as its degree or structure of political autonomy.
-
D.
typeOfPolity
Indicates that one entity is a political unit and the other specifies the kind or classification of that polity (e.g., empire, kingdom, republic).
-
E.
governmentTypeDuringUse
Indicates the form of government that was in place while something (such as a building, site, or object) was in use.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a004fd3caf48190b2ec063a7bf0756b |
completed | May 10, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a004f7672dc8190aca91d1ed855bf9a |
completed | May 10, 2026, 9:27 a.m. |
Created at: May 1, 2026, 12:53 a.m.