Triple
T25007138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Was… |
E625872
|
entity |
| Predicate | hasOnlineCirculation |
P161434
|
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: [Nicholas Was…, hasOnlineCirculation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlineCirculation Context triple: [Nicholas Was…, hasOnlineCirculation, true]
-
A.
hasCirculationFeature
Indicates that an entity possesses a specific feature related to movement or flow within a system, such as circulation paths, routes, or mechanisms.
-
B.
hasPrintCirculation
Indicates that an entity distributes or is available through a physical (printed) circulation, such as printed copies or issues.
-
C.
hasPrimaryCirculation
Indicates that an entity possesses or is associated with a main or principal system, route, or pattern of circulation (such as movement, flow, or distribution).
-
D.
hasOnlineCatalog
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
-
E.
hasCirculationArea
Indicates that an entity includes or is associated with a designated circulation space or area used for movement or flow (e.g., of people, materials, or vehicles).
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 18, 2026, 6:05 a.m.