Triple
T22615257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian space program |
E558126
|
entity |
| Predicate | usesLaunchVehicle |
P4020
|
FINISHED |
| Object |
VLM-1
VLM-1 is a small, solid-fueled orbital and suborbital launch vehicle developed under the Brazilian space program for placing lightweight payloads into space.
|
E1545866
|
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: VLM-1 | Statement: [Brazilian space program, usesLaunchVehicle, VLM-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VLM-1 Context triple: [Brazilian space program, usesLaunchVehicle, VLM-1]
-
A.
VLH
VLH is the commonly used abbreviation for Växjö Lakers HC, a professional ice hockey club based in Växjö, Sweden.
-
B.
VLP
VLP is the station code for Viktoria-Luise-Platz, a Berlin U-Bahn station on line U4 in the Schöneberg district of Berlin, Germany.
-
C.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
D.
MVL
MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
-
E.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
- 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: VLM-1 Triple: [Brazilian space program, usesLaunchVehicle, VLM-1]
Generated description
VLM-1 is a small, solid-fueled orbital and suborbital launch vehicle developed under the Brazilian space program for placing lightweight payloads into space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VLM-1 Target entity description: VLM-1 is a small, solid-fueled orbital and suborbital launch vehicle developed under the Brazilian space program for placing lightweight payloads into space.
-
A.
VLH
VLH is the commonly used abbreviation for Växjö Lakers HC, a professional ice hockey club based in Växjö, Sweden.
-
B.
VLP
VLP is the station code for Viktoria-Luise-Platz, a Berlin U-Bahn station on line U4 in the Schöneberg district of Berlin, Germany.
-
C.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
D.
MVL
MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
-
E.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167edec2481909c2f06607b3cb8f6 |
completed | April 29, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4dff7e008190a16aa3ff4e8e50a8 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b4fe0bbd88190b09e2b131a8920b2 |
completed | May 18, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b506216a481908b05ab46ff3e8ce1 |
completed | May 18, 2026, 5:46 p.m. |
Created at: April 17, 2026, 2:59 p.m.