Triple
T37323737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What If? |
E926545
|
entity |
| Predicate | bookPageCountApprox |
P9415
|
FINISHED |
| Object | 320 |
—
|
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: 320 | Statement: [What If?, bookPageCountApprox, 320]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookPageCountApprox Context triple: [What If?, bookPageCountApprox, 320]
-
A.
hasPageCountApprox
chosen
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
B.
sectionCountApproximate
Indicates that the number of sections associated with an entity is known only approximately rather than as an exact count.
-
C.
pageCountUSHardcover
Indicates the number of pages in the U.S. hardcover edition of a work.
-
D.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
E.
approximateNumberOfVerses
Indicates an estimated or approximate count of verses associated with an 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.