Triple
T15391796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shepard’s citation service |
E368061
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | BCite |
E354993
|
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: BCite | Statement: [Shepard’s citation service, competesWith, BCite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BCite Context triple: [Shepard’s citation service, competesWith, BCite]
-
A.
BCite
chosen
BCite is a legal citation and research service that competes with KeyCite by providing tools to track the history, treatment, and validity of legal authorities.
-
B.
InCites
InCites is a research analytics platform that provides citation-based metrics and benchmarking tools to evaluate institutional and researcher performance.
-
C.
BibTeX
BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
-
D.
BibDesk
BibDesk is a macOS reference management application designed to help users organize and cite bibliographic data, especially for LaTeX documents.
-
E.
Book Citation Index
Book Citation Index is a scholarly database within the Web of Science platform that indexes and tracks citation data for academic books and book chapters across disciplines.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1350699c8190acf7830d88455851 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.