Triple
T6611245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Referee |
E149241
|
entity |
| Predicate | signalTool |
P72443
|
FINISHED |
| Object | Whistle |
—
|
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: Whistle | Statement: [The Referee, signalTool, Whistle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalTool Context triple: [The Referee, signalTool, Whistle]
-
A.
signalPath
Indicates that there is a route or connection along which a signal can travel from one entity to another.
-
B.
signalProperty
Indicates that one entity has a specific characteristic, attribute, or feature related to a signal.
-
C.
signalContent
Indicates that one entity is the informational content or message carried, conveyed, or represented by a signal produced or transmitted by another entity.
-
D.
signalType
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
E.
signalGenerationMethod
Indicates the method or technique used to produce or generate a signal in a given context.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cf3683d08190b19e2aad30f2800f |
completed | March 27, 2026, 6:40 p.m. |
Created at: March 27, 2026, 1:57 p.m.