Triple
T3280963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third World Press |
E68869
|
entity |
| Predicate | hasPublishedForm |
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: [Third World Press, hasPublishedForm, paperback books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublishedForm Context triple: [Third World Press, hasPublishedForm, paperback books]
-
A.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
B.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
C.
hasPublishingFormat
chosen
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
-
D.
isPublished
Indicates that an item has been formally made available to the public through some publishing process.
-
E.
hasWrittenForm
Indicates that an entity is associated with a specific written or textual representation.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb032d76c81909c568a4e56d12ce9 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.