Triple
T16180563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda C50 |
E392671
|
entity |
| Predicate | headlight |
P59557
|
FINISHED |
| Object | round headlamp (classic styling) |
—
|
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: round headlamp (classic styling) | Statement: [Honda C50, headlight, round headlamp (classic styling)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headlight Context triple: [Honda C50, headlight, round headlamp (classic styling)]
-
A.
headlightType
chosen
Indicates the specific kind or category of headlights that an entity is equipped with or uses.
-
B.
headType
Indicates the specific kind or category of head associated with an entity (e.g., type of head part, head role, or head classification in a structure or system).
-
C.
headsToward
Indicates movement or orientation in the direction of a particular target or destination.
-
D.
heads
Indicates that one entity leads, directs, or is in charge of another entity, such as an organization, group, or initiative.
-
E.
headRetraction
Indicates a relationship where an entity pulls or draws its head back from a previous position.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.