Triple
T9947370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bata Library |
E195237
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bata Library |
E195237
|
NE 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: Bata Library | Statement: [Bata Library, name, Bata Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bata Library Context triple: [Bata Library, name, Bata Library]
-
A.
Bata Library
chosen
Bata Library is the main academic library at Trent University, serving as a central hub for research, study, and access to scholarly resources for students and faculty.
-
B.
Taree Library
Taree Library is a public library serving the community of Taree, New South Wales, by providing access to books, information resources, and community services.
-
C.
Mendik Library
Mendik Library is the law library of New York Law School, providing legal research resources and study spaces for its students and faculty.
-
D.
Mookini Library
Mookini Library is the main academic library serving the University of Hawaiʻi at Hilo, providing research resources, study spaces, and information services to its students and faculty.
-
E.
Risca Library
Risca Library is a public library serving the community of Risca in South Wales with books, digital resources, and local services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb657b35c81909448e93999f6e77c |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2292257bc8190b3a15de60d7c9ba2 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.