Triple
T1920019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Standard Name Identifier |
E40103
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | ORCID |
E171110
|
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: ORCID | Statement: [International Standard Name Identifier, relatedStandard, ORCID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORCID Context triple: [International Standard Name Identifier, relatedStandard, ORCID]
-
A.
ORCID
chosen
ORCID is a non-profit organization that provides unique, persistent digital identifiers to researchers, enabling accurate attribution of their scholarly work across systems and platforms.
-
B.
DOI
DOI is the commonly used abbreviation for the United States Department of the Interior, the federal executive department responsible for managing the nation’s natural resources and public lands.
-
C.
International DOI Foundation
The International DOI Foundation is a non-profit organization that develops, manages, and promotes the global Digital Object Identifier (DOI) system for identifying digital content.
-
D.
ORS
ORS is the commonly used abbreviation for the Oregon Revised Statutes, the codified laws governing the U.S. state of Oregon.
-
E.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb213af0481909429ec971860a3fd |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3df3fdc819095cfdf508e8bdb22 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.