Triple
T17937100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandala theory of foreign policy |
E448494
|
entity |
| Predicate | classificationOfStates |
P102748
|
FINISHED |
| Object | friend |
—
|
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: friend | Statement: [Mandala theory of foreign policy, classificationOfStates, friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationOfStates Context triple: [Mandala theory of foreign policy, classificationOfStates, friend]
-
A.
stateClassification
chosen
Indicates how something is categorized or classified within a particular state or status.
-
B.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
C.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
D.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
E.
provinceType
Indicates the classification or category of a province, specifying what type of administrative or territorial unit it is.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad937f0881909d22ac8c2be9e35e |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.