Triple
T12315948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vela |
E293598
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
VelaX
VelaX is a pulsar wind nebula powered by the Vela pulsar, located within the Vela supernova remnant in the constellation Vela.
|
E976066
|
NE FINISHED |
How this triple was built (4 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: VelaX | Statement: [Vela, contains, VelaX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VelaX Context triple: [Vela, contains, VelaX]
-
A.
Volax
Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
-
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.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
D.
Volow
Volow is an extinct, highly divergent dialect or possibly separate language once spoken on Motalava Island in Vanuatu, closely related to Mwotlap.
-
E.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VelaX Triple: [Vela, contains, VelaX]
Generated description
VelaX is a pulsar wind nebula powered by the Vela pulsar, located within the Vela supernova remnant in the constellation Vela.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VelaX Target entity description: VelaX is a pulsar wind nebula powered by the Vela pulsar, located within the Vela supernova remnant in the constellation Vela.
-
A.
Volax
Volax is a distinctive traditional village on the Greek island of Tinos, known for its unique landscape of scattered granite boulders and its long-standing basket-weaving tradition.
-
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.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
D.
Volow
Volow is an extinct, highly divergent dialect or possibly separate language once spoken on Motalava Island in Vanuatu, closely related to Mwotlap.
-
E.
VeRa
VeRa is a radio science experiment on the Venus Express spacecraft designed to study Venus’s atmosphere, ionosphere, and gravity field using radio occultation and tracking techniques.
- F. None of above. chosen
Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f05186481909c024a933b4f6c60 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e86d45881909a9a3c09df0b78f1 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f622a646c481908164ae5387625bb4 |
completed | May 2, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623fbb32081909b7daa515eebf75d |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:53 p.m.