Triple
T37456307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aspect of Justice |
E930808
|
entity |
| Predicate | grantsRole |
P16628
|
FINISHED |
| Object | Aspect of Justice |
—
|
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: Aspect of Justice | Statement: [Aspect of Justice, grantsRole, Aspect of Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsRole Context triple: [Aspect of Justice, grantsRole, Aspect of Justice]
-
A.
assignsRoleTo
chosen
Indicates that one entity designates or grants a specific role or position to another entity.
-
B.
grantsPrivileges
Indicates that one entity confers specific rights, permissions, or advantages to another entity.
-
C.
grantsExistenceTo
Indicates that one entity is responsible for bringing another entity into existence or causing it to come into being.
-
D.
grantsCredential
Indicates that one entity confers or issues an official credential, qualification, or certification to another entity.
-
E.
grantsAbility
Indicates that one entity endows another entity with a specific capability or power that it did not previously possess.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:17 p.m.