Triple
T9234846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X7 M60i |
E221909
|
entity |
| Predicate | headlights |
P59557
|
FINISHED |
| Object | split-headlight design |
—
|
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: split-headlight design | Statement: [BMW X7 M60i, headlights, split-headlight design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headlights Context triple: [BMW X7 M60i, headlights, split-headlight design]
-
A.
headlightType
chosen
Indicates the specific kind or category of headlights that an entity is equipped with or uses.
-
B.
heads
Indicates that one entity leads, directs, or is in charge of another entity, such as an organization, group, or initiative.
-
C.
floodlights
Indicates that one entity illuminates another with strong, focused artificial light, typically for visibility or emphasis.
-
D.
hornColor
Indicates the color attribute associated with an entity’s horn or horns.
-
E.
led
Indicates that one entity guided, directed, or was in charge of another entity or activity, typically over a period of time.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1cca0c8190bf587f54236c9e45 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.