Triple
T29258460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fa of Wei |
E741769
|
entity |
| Predicate | hasLegalPhilosophy |
P20219
|
FINISHED |
| Object | Legalist thought |
—
|
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: Legalist thought | Statement: [Fa of Wei, hasLegalPhilosophy, Legalist thought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalPhilosophy Context triple: [Fa of Wei, hasLegalPhilosophy, Legalist thought]
-
A.
legalPhilosophy
chosen
Indicates the philosophical principles, theories, or viewpoints that underpin or guide a legal system, doctrine, or interpretation.
-
B.
inLegalism
Indicates that one entity adheres to, practices, or is governed by the principles or system of Legalism.
-
C.
legalDoctrine
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
-
D.
hasPhilosophicalField
Indicates that an entity is associated with, specializes in, or pertains to a particular branch or field of philosophy.
-
E.
hasJurisprudence
Indicates a relationship where an entity possesses, is associated with, or is governed by a particular body of legal principles, case law, or judicial doctrine.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 12:39 p.m.