Triple
T315611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMT800 |
E7698
|
entity |
| Predicate | frameType |
P11925
|
FINISHED |
| Object | body-on-frame |
—
|
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: body-on-frame | Statement: [GMT800, frameType, body-on-frame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameType Context triple: [GMT800, frameType, body-on-frame]
-
A.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
-
B.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
C.
beamType
Indicates the specific kind or category of beam involved in the relationship or action.
-
D.
flowType
Indicates the kind or category of flow (such as direction, pattern, or mode of movement/transfer) that characterizes the relationship between entities.
-
E.
filmType
Indicates the specific category or genre that a film belongs to.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea6462148190825acc57f6d2adaf |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e943f12c8190883854aeed974260 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.