Triple
T18956326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vela |
E463788
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | VelaX1 |
—
|
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: VelaX1 | Statement: [Vela, contains, VelaX1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VelaX1 Context triple: [Vela, contains, VelaX1]
-
A.
VelaX
chosen
VelaX is a pulsar wind nebula powered by the Vela pulsar, located within the Vela supernova remnant in the constellation Vela.
-
B.
Yle Vega
Yle Vega is a Finnish Swedish-language radio channel operated by the national public broadcaster Yleisradio (Yle), offering news, culture, and entertainment programming.
-
C.
Vega VV01
Vega VV01 is the inaugural flight model of the European Vega small-lift launch vehicle, used to validate the rocket’s design and performance in its maiden mission.
-
D.
Vela
Vela is a southern sky constellation known for containing the Vela Supernova Remnant and several bright stars, and was once part of the larger ancient constellation Argo Navis.
-
E.
VISTA
VISTA (Volunteers in Service to America) is a national service program in the United States that places volunteers in low-income communities to help alleviate poverty and build local capacity.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon