Triple
T24711912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daphne Major |
E612050
|
entity |
| Predicate | researchAccess |
P157020
|
FINISHED |
| Object | by permit only |
—
|
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: by permit only | Statement: [Daphne Major, researchAccess, by permit only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchAccess Context triple: [Daphne Major, researchAccess, by permit only]
-
A.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
-
B.
researchComponent
Indicates that an entity functions as a part or element within a broader research activity, project, or study.
-
C.
researchOperator
Indicates that an entity conducts, manages, or is responsible for carrying out research activities on or for another entity.
-
D.
researchUser
Indicates that an entity conducts research on, studies, or investigates a particular user.
-
E.
researchSupportType
Indicates the specific kind of support provided for research activities, such as funding, resources, or services.
- F. None of above. chosen
Provenance (4 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:24 a.m.