Triple
T4342786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER |
E97822
|
entity |
| Predicate | plateFormatExample |
P42234
|
FINISHED |
| Object | ER AB 1234 |
—
|
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: ER AB 1234 | Statement: [ER, plateFormatExample, ER AB 1234]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plateFormatExample Context triple: [ER, plateFormatExample, ER AB 1234]
-
A.
plateType
Indicates the specific category or style of plate associated with an item or context.
-
B.
projectionFormat
Indicates the specific technical format or method used to project visual content (such as film or digital media) onto a display surface.
-
C.
pilotFormat
Indicates that one entity serves as the primary or reference format used to guide or standardize how another entity is structured, presented, or executed.
-
D.
plateNumberOf
chosen
Indicates the license plate number that is assigned to or associated with a particular vehicle.
-
E.
plateName
Indicates the name or label assigned to a specific plate.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35188e71c8190a3e82fa8d959de94 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.