Triple
T1583721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Web of Science |
E34023
|
entity |
| Predicate | dataExportFormat |
P8462
|
FINISHED |
| Object | BibTeX |
E157419
|
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: BibTeX | Statement: [Web of Science, dataExportFormat, BibTeX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BibTeX Context triple: [Web of Science, dataExportFormat, BibTeX]
-
A.
BibTeX
chosen
BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
-
B.
LaTeX
LaTeX is a widely used, high-quality typesetting system particularly popular in academia for producing technical and scientific documents with precise control over layout and mathematical notation.
-
C.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
D.
CiteSeerX
CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
-
E.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abaffad4748190995fec39bc8d7a1f |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4035dd7c8190817301c0a2b0b938 |
completed | March 8, 2026, 9:24 a.m. |
Created at: March 4, 2026, 7:27 p.m.