Triple
T7649867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saraswathi Mahal Library |
E173219
|
entity |
| Predicate | digitizationEfforts |
P344
|
FINISHED |
| Object | manuscript digitization program |
—
|
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: manuscript digitization program | Statement: [Saraswathi Mahal Library, digitizationEfforts, manuscript digitization program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitizationEfforts Context triple: [Saraswathi Mahal Library, digitizationEfforts, manuscript digitization program]
-
A.
digitizationProjectFocus
Indicates that a digitization project is specifically directed toward or centered on a particular subject, collection, or type of material.
-
B.
digitizedBy
Indicates that a physical or analog item has been converted into digital form by a particular agent or organization.
-
C.
hasDigitalInitiative
chosen
Indicates that an entity is engaged in or associated with a specific digital project, program, or transformation effort.
-
D.
hasDigitalArchive
Indicates that an entity maintains or is associated with a collection of materials stored in a digital archive.
-
E.
hasDigitalCollections
Indicates that an entity possesses or provides access to one or more collections of materials in digital form.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:58 p.m.