Triple
T6620047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat 131 Abarth rally car |
E149649
|
entity |
| Predicate | lightweightComponents |
P71561
|
FINISHED |
| Object | fiberglass body panels |
—
|
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: fiberglass body panels | Statement: [Fiat 131 Abarth rally car, lightweightComponents, fiberglass body panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightweightComponents Context triple: [Fiat 131 Abarth rally car, lightweightComponents, fiberglass body panels]
-
A.
isLightweight
Indicates that an entity has a relatively low weight or mass compared to typical or alternative entities.
-
B.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
-
C.
component3
Indicates that one entity is the third component or sub-part within a larger composite structure or system involving another entity.
-
D.
launcherComponents
Indicates that one entity is a component or part used in the construction or functioning of a launcher associated with another entity.
-
E.
componentElement
Indicates that one entity is a constituent or part of another, larger entity or structure.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6bdb76ec48190b59d576170970cc9 |
completed | March 27, 2026, 5:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.