Triple
T22435261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peugeot Traveller |
E554603
|
entity |
| Predicate | safetyFeature |
P642
|
FINISHED |
| Object | ABS |
—
|
NE NERFINISHED |
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: ABS | Statement: [Peugeot Traveller, safetyFeature, ABS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABS Context triple: [Peugeot Traveller, safetyFeature, ABS]
-
A.
ABS
ABS is the stock ticker symbol for ABS-CBN Corporation, a major Philippine media and entertainment company.
-
B.
ABS
chosen
ABS (Anti-lock Braking System) is a vehicle safety technology that prevents the wheels from locking during braking to maintain steering control and reduce stopping distances on slippery surfaces.
-
C.
ABS
ABS is Australia’s national statistical agency responsible for collecting, analyzing, and publishing key economic, demographic, and social data.
-
D.
ABS
ABS is the IATA airport code for Abu Simbel Airport, which serves the area near the Abu Simbel temples in southern Egypt.
-
E.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adda0e48190825a5b705ae52d5b |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.