Triple
T8734271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguyen Van Thieu |
E207335
|
entity |
| Predicate | governmentFormLed |
P56329
|
FINISHED |
| Object | anti-communist state |
—
|
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: anti-communist state | Statement: [Nguyen Van Thieu, governmentFormLed, anti-communist state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormLed Context triple: [Nguyen Van Thieu, governmentFormLed, anti-communist state]
-
A.
governmentFormUnder
Indicates that one governmental form or system operates under the authority, framework, or jurisdiction of another governmental form.
-
B.
governmentFormCreated
Indicates that one entity established or instituted a particular form or system of government for another entity.
-
C.
governmentFormDefined
Indicates that the specific form or structure of governance for an entity has been formally specified or classified.
-
D.
governmentFormProposed
Indicates that a particular form or structure of government has been put forward as a proposal by an entity.
-
E.
governmentalForm
chosen
Indicates the type or structure of governance that characterizes a political entity or organization.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2a26988190acfda17f232e610a |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:37 p.m.