Triple
T31944019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | unitarity triangle |
E815597
|
entity |
| Predicate | angleGammaAlsoCalled |
P173788
|
FINISHED |
| Object | phi_3 |
—
|
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: phi_3 | Statement: [unitarity triangle, angleGammaAlsoCalled, phi_3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angleGammaAlsoCalled Context triple: [unitarity triangle, angleGammaAlsoCalled, phi_3]
-
A.
angleAlphaAlsoCalled
Indicates that the angle referred to as alpha is also known by an alternative name or designation.
-
B.
angleBetaAlsoCalled
Indicates that the angle referred to as beta is also known by an alternative name or designation.
-
C.
angleProperty
Indicates that a relationship specifies a particular geometric or quantitative characteristic (such as measure, type, or orientation) of an angle between entities.
-
D.
angleCondition
Indicates that a specified geometric relationship holds between angles, such as equality, inequality, or a particular angular constraint.
-
E.
leanAngle
Indicates the degree to which an entity is tilted or inclined away from a reference upright position.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba1733408190af579d93a7946508 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:06 a.m.