Triple
T2784102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Service Tribunal |
E61767
|
entity |
| Predicate | appealScope |
P15240
|
FINISHED |
| Object | points of law only |
—
|
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: points of law only | Statement: [Civil Service Tribunal, appealScope, points of law only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appealScope Context triple: [Civil Service Tribunal, appealScope, points of law only]
-
A.
appealsFrom
Indicates that a decision, judgment, or ruling is being challenged and taken to a higher authority or court for review.
-
B.
appeal
Indicates that one party formally requests a higher authority to review, reconsider, or overturn a prior decision, judgment, or outcome.
-
C.
levelOfAppeal
Indicates the degree or intensity to which something is attractive, interesting, or desirable to someone or something.
-
D.
typeOfAppeals
chosen
Indicates the specific category or kind of appeals associated with or applied to a given case, decision, or legal action.
-
E.
alsoAppealsTo
Indicates that something attracts, interests, or is pleasing to an additional person, group, or audience beyond the primary one.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.