Triple
T2292104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoured Worker of Culture of the RSFSR |
E51526
|
entity |
| Predicate | hasFormOfAward |
P16784
|
FINISHED |
| Object | title |
—
|
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: title | Statement: [Honoured Worker of Culture of the RSFSR, hasFormOfAward, title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormOfAward Context triple: [Honoured Worker of Culture of the RSFSR, hasFormOfAward, title]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
hasAwardedFormat
Indicates that one entity has granted or assigned a particular award format or type to another entity.
-
C.
awardForm
chosen
Indicates that one entity is the specific form, type, or category of an award associated with another entity.
-
D.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
E.
hasMultipleAwardsIndicatedBy
Indicates that an entity is recognized as having received multiple awards, as evidenced or signaled by a specified source or indicator.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:48 p.m.