Triple
T3764788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Booksellers Book of the Year (ABBY) Award |
E82643
|
entity |
| Predicate | hasVoter |
P38956
|
FINISHED |
| Object | independent booksellers |
—
|
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: independent booksellers | Statement: [American Booksellers Book of the Year (ABBY) Award, hasVoter, independent booksellers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVoter Context triple: [American Booksellers Book of the Year (ABBY) Award, hasVoter, independent booksellers]
-
A.
hasVoterRegister
Indicates that an entity maintains or possesses an official register or list of eligible voters.
-
B.
hasVotingPower
Indicates that an entity possesses the authority or capacity to participate in a decision-making or electoral process by casting votes.
-
C.
hadVoteIn
Indicates that an entity participated by casting a vote in a particular decision, election, or voting event.
-
D.
hasTypeOfVoters
chosen
Indicates that an entity is associated with or characterized by a particular category or kind of voters.
-
E.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfd4be481908242c460a3f00c56 |
completed | March 8, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.