Triple
T29797017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis Wen of Wei |
E756580
|
entity |
| Predicate | implementedLegalCode |
P39144
|
FINISHED |
| Object | Canon of Laws |
—
|
NE NERFINISHED |
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: Canon of Laws | Statement: [Marquis Wen of Wei, implementedLegalCode, Canon of Laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementedLegalCode Context triple: [Marquis Wen of Wei, implementedLegalCode, Canon of Laws]
-
A.
usesLegalCode
Indicates that one entity applies, references, or operates under a particular legal code in its actions or regulations.
-
B.
legalCodeScript
Indicates that a legal code is written or represented using a particular writing system or script.
-
C.
hasLegalCodeCharacteristic
Indicates that a legal code possesses a specified characteristic, feature, or property.
-
D.
hasLegalCodeAttributedTo
chosen
Indicates that a legal code or body of laws is attributed or assigned to a particular entity as its source, owner, or governing framework.
-
E.
notableLegalCode
Indicates that a legal code is especially significant, influential, or noteworthy in relation to the referenced entity.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 5:16 p.m.