Triple
T7415214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ORCID |
E171110
|
entity |
| Predicate | hasAPI |
P182
|
FINISHED |
| Object | ORCID Public API |
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 Public API | Statement: [ORCID, hasAPI, ORCID Public API]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORCID Public API Context triple: [ORCID, hasAPI, ORCID Public API]
-
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.
Publons
Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
-
C.
Microsoft Academic Search
Microsoft Academic Search was a free academic search engine and research tool developed by Microsoft that indexed scholarly publications and provided citation analysis and visualization features.
-
D.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
E.
ISNI database
The ISNI database is a global registry that assigns and maintains unique identifiers for public identities such as authors, researchers, and organizations to ensure accurate attribution and disambiguation.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c643248190a387abba2f482b25 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ee1b48c81909912ff0d7bf2837e |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.