Triple
T17234909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government Law College Library |
E418332
|
entity |
| Predicate | materialFormat |
P102437
|
FINISHED |
| Object | print 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: print books | Statement: [Government Law College Library, materialFormat, print books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialFormat Context triple: [Government Law College Library, materialFormat, print books]
-
A.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
B.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other entity.
-
C.
preservationFormat
Indicates the format or encoding in which something is maintained specifically for long-term preservation.
-
D.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
E.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfb04e481909f4ee3ed31fffe10 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.