Triple
T24069308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twentysix Gasoline Stations |
E596180
|
entity |
| Predicate | secondEditionPrintRun |
P154741
|
FINISHED |
| Object | 500 copies |
—
|
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: 500 copies | Statement: [Twentysix Gasoline Stations, secondEditionPrintRun, 500 copies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondEditionPrintRun Context triple: [Twentysix Gasoline Stations, secondEditionPrintRun, 500 copies]
-
A.
secondEditionISBN
Indicates that the object is the ISBN assigned specifically to the second edition of the subject work.
-
B.
secondEditionPublisher
Indicates the publisher responsible for issuing the second edition of a work.
-
C.
secondEditionRunnerUp
Indicates that an entity finished as the runner-up (second place) in the second edition of a particular event or competition.
-
D.
isSecondEditionOf
Indicates that one entity is the second edition or version of another, typically representing a revised or updated form of the original.
-
E.
secondEditionLanguage
Indicates that a work’s second edition is written in or associated with a particular language.
- F. None of above. chosen
Provenance (4 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db15866c8190ab931216b8d9c57f |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:41 p.m.