Triple
T1530483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directory of Open Access Journals |
E32428
|
entity |
| Predicate | identifier |
P3732
|
FINISHED |
| Object | ISSN 2000-2106 |
—
|
LITERAL 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: ISSN 2000-2106 | Statement: [Directory of Open Access Journals, identifier, ISSN 2000-2106]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifier Context triple: [Directory of Open Access Journals, identifier, ISSN 2000-2106]
-
A.
identifierFor
chosen
Indicates that one entity serves as a unique identifying label or code for another entity.
-
B.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
C.
identificationScope
Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
-
D.
subjectIdentity
Indicates that two or more references correspond to the same underlying entity or individual identity.
-
E.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
- F. None of above.
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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.