Triple
T4943459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SN 1987A |
E110990
|
entity |
| Predicate | lightEchoesObserved |
P60193
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SN 1987A, lightEchoesObserved, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightEchoesObserved Context triple: [SN 1987A, lightEchoesObserved, true]
-
A.
echoedIn
Indicates that a sound, statement, or effect produced in one context is repeated, reflected, or resonated in another context.
-
B.
echoesCity
Indicates that one city reflects, resembles, or mirrors another city in character, atmosphere, or notable features.
-
C.
echoesJoyOf
Indicates that one entity reflects, amplifies, or resonates with the joy experienced or expressed by another entity.
-
D.
visibleToNakedEye
Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
-
E.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff85b50819081d78087caa6b473 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:31 p.m.