Triple
T4276684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ReDoc |
E97060
|
entity |
| Predicate | supportsMultipleServersDisplay |
P55141
|
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: [ReDoc, supportsMultipleServersDisplay, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMultipleServersDisplay Context triple: [ReDoc, supportsMultipleServersDisplay, true]
-
A.
supportsMultipleDataAndDisplayProtocols
Indicates that an entity is capable of handling more than one type of data protocol and more than one type of display protocol.
-
B.
supportsMultipleTerminals
Indicates that an entity is capable of handling or operating with more than one terminal or endpoint simultaneously.
-
C.
supportsMultipleWindows
Indicates that the subject can handle or display more than one window or view simultaneously.
-
D.
hasReplicaDisplays
Indicates that an entity features or presents one or more replica items as displays.
-
E.
supportsMultiuser
Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3501d677481909e7416a1d2b0008c |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.