Triple
T25616988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket A |
E642184
|
entity |
| Predicate | coolerMounting |
P158915
|
FINISHED |
| Object | uses plastic retention lugs on socket |
—
|
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: uses plastic retention lugs on socket | Statement: [Socket A, coolerMounting, uses plastic retention lugs on socket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coolerMounting Context triple: [Socket A, coolerMounting, uses plastic retention lugs on socket]
-
A.
bellMounting
Indicates that one entity is mounted, fixed, or installed as a bell onto another supporting structure or surface.
-
B.
coolingMethod
Indicates the technique or process used to remove heat from something or keep it at a lower temperature.
-
C.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
D.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
-
E.
batteryPlacement
Indicates the spatial or positional relationship specifying where a battery is located or installed relative to another object or system.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5f9e8734c8190a214685b1647abe1 |
completed | May 2, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 5 p.m.