Triple
T957715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thread |
E20659
|
entity |
| Predicate | supportsTopologySize |
P5992
|
FINISHED |
| Object | hundreds of nodes |
—
|
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: hundreds of nodes | Statement: [Thread, supportsTopologySize, hundreds of nodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTopologySize Context triple: [Thread, supportsTopologySize, hundreds of nodes]
-
A.
hasTopology
Indicates that one entity possesses, exhibits, or is characterized by a particular structural or spatial configuration defined by the other entity.
-
B.
supportsDeviceCount
chosen
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
C.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
D.
isSupportedBy
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
-
E.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3fac2bc8190a66feb70c68899b2 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.