Triple
T6411086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amfleet I coaches |
E127705
|
entity |
| Predicate | configurationVariant |
P39487
|
FINISHED |
| Object | coach |
—
|
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: coach | Statement: [Amfleet I coaches, configurationVariant, coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configurationVariant Context triple: [Amfleet I coaches, configurationVariant, coach]
-
A.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
B.
designVariant
chosen
Indicates that one entity is an alternative design or version derived from or related to another entity’s design.
-
C.
productVariant
Indicates that one entity is a specific variant or version of a more general product entity.
-
D.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
E.
performanceVariantEngine
Indicates that one engine is a higher-performance variant or upgraded version of another engine.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d0f2b88190af06c208d8c01d07 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.