Triple
T29546957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian law |
E749655
|
entity |
| Predicate | civilCourtsApply |
P167012
|
FINISHED |
| Object | secular law |
—
|
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: secular law | Statement: [Malaysian law, civilCourtsApply, secular law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilCourtsApply Context triple: [Malaysian law, civilCourtsApply, secular law]
-
A.
courts
Indicates that one entity actively seeks the favor, support, or romantic interest of another through deliberate actions or overtures.
-
B.
courtCategory
Indicates the classification or type of court associated with a legal case, proceeding, or judicial body.
-
C.
courtCategory
Indicates the classification or type of court associated with a legal case or judicial proceeding.
-
D.
usedCourt
Indicates that an entity made use of or participated in legal proceedings within a particular court.
-
E.
courtBasedIn
Indicates that a particular court is located or headquartered in a specified place or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66cf3695c81908817bc14126fea9e |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 5:08 p.m.