Triple
T30496563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuzzy-Wuzzy |
E776021
|
entity |
| Predicate | hasMediumOfUse |
P4793
|
FINISHED |
| Object | spoken language |
—
|
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: spoken language | Statement: [Fuzzy-Wuzzy, hasMediumOfUse, spoken language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediumOfUse Context triple: [Fuzzy-Wuzzy, hasMediumOfUse, spoken language]
-
A.
usedMedium
chosen
Indicates that an action or communication was carried out through a particular medium or channel.
-
B.
hasMedianUse
Indicates that something is associated with a typical or middle level of use within a given range or distribution of usage.
-
C.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
D.
hasPopularUse
Indicates that something is widely used, accepted, or favored by a large number of people or within a broad context.
-
E.
usesActiveMedium
Indicates that an entity performs an action or operates by employing an active medium as the means or channel for that action or process.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: April 29, 2026, 8:14 p.m.