Triple
T10072621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocket Lab |
E213666
|
entity |
| Predicate | launchVehicle |
P4020
|
FINISHED |
| Object |
Neutron
Neutron is Rocket Lab’s next-generation medium-lift reusable rocket designed to carry satellites and support missions including constellation deployment and potential human spaceflight.
|
E839694
|
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: Neutron | Statement: [Rocket Lab, launchVehicle, Neutron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neutron Context triple: [Rocket Lab, launchVehicle, Neutron]
-
A.
Neutron
Neutron is OpenStack’s networking service that provides scalable, programmable virtual networking for cloud environments.
-
B.
Neutrino
A neutrino is an extremely light, electrically neutral elementary particle that interacts only via the weak nuclear force and gravity, making it very difficult to detect.
-
C.
Niwt-Imn
Niwt-Imn is the ancient Egyptian name for the city later known as Thebes, a major religious and political center along the Nile.
-
D.
Neutor
Neutor is a historic city gate in Nuremberg, Germany, forming part of the city’s preserved medieval fortifications.
-
E.
Fermi
Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
- 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: Neutron Triple: [Rocket Lab, launchVehicle, Neutron]
Generated description
Neutron is Rocket Lab’s next-generation medium-lift reusable rocket designed to carry satellites and support missions including constellation deployment and potential human spaceflight.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neutron Target entity description: Neutron is Rocket Lab’s next-generation medium-lift reusable rocket designed to carry satellites and support missions including constellation deployment and potential human spaceflight.
-
A.
Neutron
Neutron is OpenStack’s networking service that provides scalable, programmable virtual networking for cloud environments.
-
B.
Neutrino
A neutrino is an extremely light, electrically neutral elementary particle that interacts only via the weak nuclear force and gravity, making it very difficult to detect.
-
C.
Niwt-Imn
Niwt-Imn is the ancient Egyptian name for the city later known as Thebes, a major religious and political center along the Nile.
-
D.
Neutor
Neutor is a historic city gate in Nuremberg, Germany, forming part of the city’s preserved medieval fortifications.
-
E.
Fermi
Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29d670ce881909e9881235790d9ff |
completed | April 5, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29e0779608190828c81cc8868bae2 |
completed | April 5, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:59 p.m.