Triple
T26576015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | face of the Sun of May |
E666948
|
entity |
| Predicate | hasRayTypes |
P170631
|
FINISHED |
| Object | straight rays |
—
|
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: straight rays | Statement: [face of the Sun of May, hasRayTypes, straight rays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRayTypes Context triple: [face of the Sun of May, hasRayTypes, straight rays]
-
A.
hasRaySystem
Indicates that an entity possesses a radial arrangement or system of rays extending from a central point.
-
B.
hasRayPath
Indicates that there exists a path or trajectory along which a ray (such as light, sound, or radiation) travels from one entity to another.
-
C.
numberOfRays
Indicates the count of rays associated with or emitted by a given entity.
-
D.
hasNumberOfTypes
Indicates that an entity is associated with a specific count of distinct types or categories it possesses or includes.
-
E.
hasXRaySources
Indicates that an entity possesses or is associated with one or more X-ray emitting sources.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 2 a.m.