Triple
T16748873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Scholar |
E407022
|
entity |
| Predicate | supportsCitationFormat |
P108174
|
FINISHED |
| Object | RefMan |
E407018
|
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: RefMan | Statement: [Google Scholar, supportsCitationFormat, RefMan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RefMan Context triple: [Google Scholar, supportsCitationFormat, RefMan]
-
A.
RefMan
chosen
RefMan is a bibliographic reference management file format used for exporting and importing citation data between academic databases and reference management software.
-
B.
REFER
REFER was Portugal’s former state-owned rail infrastructure company responsible for managing and maintaining the national railway network before its merger into Infraestruturas de Portugal.
-
C.
BibDesk
BibDesk is a macOS reference management application designed to help users organize and cite bibliographic data, especially for LaTeX documents.
-
D.
RefWorks
RefWorks is a web-based reference management tool that helps researchers collect, organize, and format citations and bibliographies in various academic styles.
-
E.
FRBRoo
FRBRoo is an object-oriented conceptual model that harmonizes the FRBR bibliographic framework with the CIDOC CRM ontology to support rich, interoperable descriptions of cultural heritage and bibliographic information.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2532ac81908e5ee5148e35f92e |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.