Triple
T35366941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bioscience Reports |
E1021655
|
entity |
| Predicate | hasDOIRegistrationAgency |
P108933
|
FINISHED |
| Object | CrossRef |
—
|
NE NERFINISHED |
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: CrossRef | Statement: [Bioscience Reports, hasDOIRegistrationAgency, CrossRef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDOIRegistrationAgency Context triple: [Bioscience Reports, hasDOIRegistrationAgency, CrossRef]
-
A.
hasDigitalObjectIdentifier
Indicates that an entity is associated with a specific Digital Object Identifier (DOI) that uniquely identifies it in a digital environment.
-
B.
doi
Indicates that an entity has a specific Digital Object Identifier (DOI) assigned to it, representing a persistent, unique reference to that digital object.
-
C.
hasRegistrationAuthority
chosen
Indicates that an entity is formally overseen, recorded, or certified by a specific authority responsible for its registration.
-
D.
catalogingAgency
Indicates the organization or agency responsible for creating, maintaining, or managing the catalog record for an item.
-
E.
hasAuthorAffiliationAtTimeOfPublication
Indicates that an author was affiliated with a particular organization or institution at the time a work was published.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:03 p.m.