Triple
T26398994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Label Distribution Protocol |
E663648
|
entity |
| Predicate | labelBindingType |
P66403
|
FINISHED |
| Object | per-platform label space |
—
|
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: per-platform label space | Statement: [Label Distribution Protocol, labelBindingType, per-platform label space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelBindingType Context triple: [Label Distribution Protocol, labelBindingType, per-platform label space]
-
A.
labelingType
Indicates the specific kind or category of labeling applied to an entity or between entities, such as the method, standard, or purpose of the label.
-
B.
labelCodeType
Indicates that one entity serves as the type or classification scheme for the labeling code applied to another entity.
-
C.
labelCatalogType
Indicates that an entity is assigned a specific catalog type label, defining its classification within a cataloging system.
-
D.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
E.
bindingFor
chosen
Indicates that one entity serves as the binding, constraint, or linkage mechanism that determines how another entity is associated, applied, or made effective.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610f2c09c8190849494490f255758 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:30 p.m.