Triple
T33726081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publication Division |
E864146
|
entity |
| Predicate | typeOfMaterialsProduced |
P2475
|
FINISHED |
| Object | print textbooks |
—
|
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: print textbooks | Statement: [Publication Division, typeOfMaterialsProduced, print textbooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMaterialsProduced Context triple: [Publication Division, typeOfMaterialsProduced, print textbooks]
-
A.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
B.
partOfProductionFor
Indicates that one entity is a component, phase, or contribution within the overall production process of another entity.
-
C.
chemicalTypeProduced
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
D.
equipmentTypeProduced
Indicates that an entity produces or manufactures a particular type or category of equipment.
-
E.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00ca5e907481909d391afd55938a1b |
completed | May 10, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a00ca2214348190a674a85ede709e2e |
completed | May 10, 2026, 6:10 p.m. |
Created at: May 1, 2026, 1:44 a.m.