Triple
T590939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroness |
E17267
|
entity |
| Predicate | canBeConferredFor |
P8260
|
FINISHED |
| Object | public service |
—
|
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: public service | Statement: [Baroness, canBeConferredFor, public service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeConferredFor Context triple: [Baroness, canBeConferredFor, public service]
-
A.
canBeAwardedTo
chosen
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
B.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
C.
confersTitle
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
D.
canBeDesignatedBy
Indicates that one entity is capable of being assigned, labeled, or identified by another entity as its designation.
-
E.
canBe
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb8ff0081909cd53d88930e2693 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.