Triple
T23244005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | local standard of rest |
E581533
|
entity |
| Predicate | relativeTo |
P278
|
FINISHED |
| Object | Sun |
—
|
NE NERFINISHED |
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: Sun | Statement: [local standard of rest, relativeTo, Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Context triple: [local standard of rest, relativeTo, Sun]
-
A.
Sun
chosen
The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
-
B.
Sun
Sun is a common Chinese surname borne by numerous historical figures, including emperors, generals, and scholars.
-
C.
Sun
Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
-
D.
Sun
Sun is a 2012 studio album by American singer-songwriter Cat Power that marked a stylistic shift toward a more electronic and experimental sound.
-
E.
Güneş
Güneş is a Turkish surname most prominently associated with Şenol Güneş, a renowned Turkish football coach and former goalkeeper.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.