Triple
T9478533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disputes Tribunal of New Zealand |
E228574
|
entity |
| Predicate | allowsRepresentationByLawyers |
P88347
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Disputes Tribunal of New Zealand, allowsRepresentationByLawyers, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsRepresentationByLawyers Context triple: [Disputes Tribunal of New Zealand, allowsRepresentationByLawyers, false]
-
A.
legalRepresentation
Indicates that one entity formally acts on behalf of another in legal matters, such as providing counsel, advocacy, or defense within a legal system.
-
B.
lawPartnerOf
Indicates a professional relationship in which two individuals are partners in the same law firm or legal practice.
-
C.
numberOfLawyers
Indicates the quantity of lawyers associated with a given entity or situation.
-
D.
legalProfessionIncludes
Indicates that a legal profession or role encompasses, involves, or includes another specified legal function, specialization, or activity.
-
E.
legalParties
Indicates that the related entities are formally recognized participants in a legal relationship, case, contract, or proceeding.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8014fd0c819093bd15816f3db357 |
completed | April 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:54 p.m.