Triple
T32803088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuchsia Swing Song |
E838946
|
entity |
| Predicate | instrumentationOfSamRivers |
P175133
|
FINISHED |
| Object | tenor saxophone |
—
|
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: tenor saxophone | Statement: [Fuchsia Swing Song, instrumentationOfSamRivers, tenor saxophone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instrumentationOfSamRivers Context triple: [Fuchsia Swing Song, instrumentationOfSamRivers, tenor saxophone]
-
A.
mentionsRiver
Indicates that an entity refers to or brings up a river in some form of content or communication.
-
B.
isSpokenAlongRiver
Indicates that a language or dialect is used or spoken by communities located along a particular river or river system.
-
C.
runOfTheRiver
Indicates a relationship where a hydroelectric facility operates using the natural flow and elevation drop of a river without significant water storage or regulation by a large reservoir.
-
D.
hasFictionalRiver
Indicates that an entity includes, features, or is associated with a river that is fictional rather than real.
-
E.
isUrbanRiverOf
Indicates that a river flows through or is located within an urban area associated with a specified place or city.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:15 a.m.