Triple
T33406080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Special |
E855440
|
entity |
| Predicate | hasExteriorBadge |
P182411
|
FINISHED |
| Object | GT/CS side badge |
—
|
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: GT/CS side badge | Statement: [California Special, hasExteriorBadge, GT/CS side badge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExteriorBadge Context triple: [California Special, hasExteriorBadge, GT/CS side badge]
-
A.
hasExteriorStyle
Indicates that an entity possesses or is characterized by a particular exterior design or stylistic appearance.
-
B.
hasExteriorType
Indicates that an entity possesses a specific kind or style of exterior.
-
C.
hasInsigniaComponent
Indicates that an entity includes, bears, or is composed of a particular insignia or emblem as one of its components.
-
D.
hasBadgeFeature
chosen
Indicates that one entity includes, supports, or is associated with a particular badge-related feature of another entity.
-
E.
hasBadgeNumber
Indicates that an entity is associated with a specific badge identification number.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:36 a.m.