Triple
T29097609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | orange (color) |
E735052
|
entity |
| Predicate | hasHueAngle |
P167945
|
FINISHED |
| Object | about 30 degrees |
—
|
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: about 30 degrees | Statement: [orange (color), hasHueAngle, about 30 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHueAngle Context triple: [orange (color), hasHueAngle, about 30 degrees]
-
A.
hasTypicalAngle
Indicates that there is a characteristic or commonly occurring angle associated with the relationship between the entities.
-
B.
hasSolarAngle
Indicates that an entity is associated with a specific angle of incoming solar radiation relative to a reference surface or direction.
-
C.
hasViewingAngles
Indicates that one entity possesses or is characterized by specific viewing angles relative to another entity or reference frame.
-
D.
supportsAngleModes
Indicates that one entity provides functionality for handling or operating in multiple angle measurement modes (such as degrees, radians, or gradians) for another entity or context.
-
E.
hasInclinationToLineOfSight
Indicates that one entity is oriented or directed in such a way that it tends toward having a line of sight to another entity or location.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 11:09 a.m.