Triple
T27866959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CancellationToken |
E704380
|
entity |
| Predicate | hasUnderlyingField |
P62046
|
FINISHED |
| Object | reference to CancellationTokenSource |
—
|
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: reference to CancellationTokenSource | Statement: [CancellationToken, hasUnderlyingField, reference to CancellationTokenSource]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingField Context triple: [CancellationToken, hasUnderlyingField, reference to CancellationTokenSource]
-
A.
hasUnderlyingEntity
Indicates that one entity serves as the fundamental or base entity upon which another entity is conceptually or structurally built.
-
B.
hasBaseField
chosen
Indicates that one entity serves as the foundational or underlying field structure upon which another entity is defined or constructed.
-
C.
hasUnderlyingSet
Indicates that one mathematical structure is associated with, or based on, a specific underlying set of elements.
-
D.
hasUnderlyingMarket
Indicates that one entity is based on, derives its value from, or is traded with reference to another entity that serves as its fundamental market.
-
E.
hasRelatedField
Indicates that one field is associated with or connected to another field in a relevant or contextually meaningful way.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 6:21 p.m.