Triple
T5479485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSPF |
E123434
|
entity |
| Predicate | supportsStubAreas |
P64017
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [OSPF, supportsStubAreas, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsStubAreas Context triple: [OSPF, supportsStubAreas, yes]
-
A.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
-
B.
supportsTechnologyArea
Indicates that one entity provides backing, resources, or endorsement for a particular technology area associated with another entity.
-
C.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
D.
supportsLocation
Indicates that one entity provides the necessary structure, foundation, or capacity to hold, host, or accommodate another entity at a particular place or position.
-
E.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.