Triple
T5825887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCH |
E129221
|
entity |
| Predicate | formatPart |
P35800
|
FINISHED |
| Object | prefix on Polish license plates |
—
|
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: prefix on Polish license plates | Statement: [KCH, formatPart, prefix on Polish license plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatPart Context triple: [KCH, formatPart, prefix on Polish license plates]
-
A.
formatPartOf
chosen
Indicates that one entity functions as a component or segment within the overall structure or composition of another entity.
-
B.
firstPartFormat
Indicates that the subject entity is the initial segment or portion in the overall format or structured sequence of something.
-
C.
formatAfter
Indicates that one entity’s format or structural arrangement is derived from, follows, or is applied subsequent to another entity’s format.
-
D.
formatBefore
Indicates that one item’s format or formatting must occur or be applied prior to another item’s format or formatting.
-
E.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.