Triple
T671379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan Books |
E12977
|
entity |
| Predicate | formatPublished |
P5128
|
FINISHED |
| Object | paperback books |
—
|
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: paperback books | Statement: [Pan Books, formatPublished, paperback books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatPublished Context triple: [Pan Books, formatPublished, paperback books]
-
A.
publishedFor
Indicates that something (such as a work, document, or content) is published with a particular audience, recipient, or target group in mind.
-
B.
formatAfter
Indicates that one entity’s format or structural arrangement is derived from, follows, or is applied subsequent to another entity’s format.
-
C.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
formatBefore
Indicates that one item’s format or formatting must occur or be applied prior to another item’s format or formatting.
-
E.
hasPublishingFormat
chosen
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.