Triple
T16763224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WES |
E407396
|
entity |
| Predicate | hasFormatExample |
P83564
|
FINISHED |
| Object | WES 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: WES AB 1234 | Statement: [WES, hasFormatExample, WES AB 1234]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormatExample Context triple: [WES, hasFormatExample, WES AB 1234]
-
A.
hasExample
Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
-
B.
valueFormatExample
chosen
Indicates an example of how a value should be formatted or represented.
-
C.
hasExampleType
Indicates that something is associated with a specific type or category of example that characterizes or illustrates it.
-
D.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
-
E.
hasNonExample
Indicates that something is associated with an instance that explicitly does not satisfy or illustrate a given concept, rule, or category.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.