Triple
T4093704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organization Science |
E87762
|
entity |
| Predicate | hasFullTextOnline |
P6969
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Organization Science, hasFullTextOnline, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFullTextOnline Context triple: [Organization Science, hasFullTextOnline, true]
-
A.
hasFullTextAvailableAt
chosen
Indicates that the complete text of a resource is accessible at a specified location or via a given link.
-
B.
hasOnlineCatalog
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
-
C.
hasDigitalForm
Indicates that something exists or is available in a digital or electronic format.
-
D.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
-
E.
textAvailableAt
Indicates that a specific piece of text can be accessed or obtained at a given location, source, or resource.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcda2f408190bcf2b64535193162 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.