Triple
T22925584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jury test |
E569295
|
entity |
| Predicate | stabilityRegion |
P150283
|
FINISHED |
| Object | interior of the unit circle in the complex plane |
—
|
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: interior of the unit circle in the complex plane | Statement: [Jury test, stabilityRegion, interior of the unit circle in the complex plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stabilityRegion Context triple: [Jury test, stabilityRegion, interior of the unit circle in the complex plane]
-
A.
stabilityCharacteristic
Indicates that one entity specifies a property or feature related to the stability or steadiness of another entity or system.
-
B.
stabilityAxes
Indicates the axes or directions along which a system, object, or configuration remains stable or returns to equilibrium after small disturbances.
-
C.
stabilityDescription
Indicates how stable, consistent, or enduring the relationship, condition, or state between the entities is over time.
-
D.
isConditionallyStable
Indicates that an entity remains stable only under certain specified conditions or constraints.
-
E.
isStable
Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d84fc08190b747c3f9052c657a |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:43 p.m.