Triple
T33202241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U |
E849930
|
entity |
| Predicate | languageOfMarking |
P201624
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [U, languageOfMarking, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMarking Context triple: [U, languageOfMarking, English]
-
A.
labelMarketingLanguage
Indicates that one entity is designated as the marketing-oriented label or phrasing used to promote or describe another entity.
-
B.
distinctiveMarking
Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
-
C.
markingDefinition
Indicates that one entity defines the marking, labeling, or classification rules that are applied to another entity.
-
D.
nationalityMarkingFor
Indicates that something serves as a marker or indicator of the nationality associated with a given entity.
-
E.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a000efe971081909de03f875a7ad6cc |
completed | May 10, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a000c4ffe788190a5757af60aadd9f3 |
completed | May 10, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_6a000efdbe948190b4bfa9871aa1a7ee |
completed | May 10, 2026, 4:52 a.m. |
Created at: May 1, 2026, 1:30 a.m.