Triple
T10042757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese constitutionalism |
E205335
|
entity |
| Predicate | integratesPrinciple |
P64704
|
FINISHED |
| Object | constitutional rule |
—
|
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: constitutional rule | Statement: [Chinese constitutionalism, integratesPrinciple, constitutional rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratesPrinciple Context triple: [Chinese constitutionalism, integratesPrinciple, constitutional rule]
-
A.
implementsPrinciple
Indicates that an entity applies, follows, or puts into practice a specified principle in its design, behavior, or operation.
-
B.
includePrinciple
chosen
Indicates that one entity incorporates, embodies, or is based on a particular principle defined by another entity.
-
C.
invokesPrinciple
Indicates that one entity calls upon, applies, or relies on a particular principle as the basis for an action, decision, or reasoning process.
-
D.
usesPrinciple
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
E.
recognizesPrinciple
Indicates that an entity acknowledges the validity, authority, or applicability of a particular principle.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf60a2208190846e57b5f5649307 |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:55 p.m.