Triple
T6865589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-125 Neva/Pechora |
E158391
|
entity |
| Predicate | crewRequirement |
P27972
|
FINISHED |
| Object | multiple-vehicle battery |
—
|
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: multiple-vehicle battery | Statement: [S-125 Neva/Pechora, crewRequirement, multiple-vehicle battery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewRequirement Context triple: [S-125 Neva/Pechora, crewRequirement, multiple-vehicle battery]
-
A.
crewCount
Indicates the number of crew members associated with an entity, such as a vehicle, vessel, or mission.
-
B.
crewType
Indicates the specific role or category of crew associated with an entity, such as the type of personnel assigned to operate or support it.
-
C.
rosterRequirement
chosen
Indicates that one entity specifies or imposes a required composition, number, or type of participants that must be included in another entity’s roster.
-
D.
crew
Indicates that one entity serves as the group of people who operate, staff, or work on another entity (such as a vehicle, vessel, or production).
-
E.
boardingRequirement
Indicates the conditions or criteria that must be met for an entity to be allowed to board another entity (such as a vehicle, vessel, or aircraft).
- F. None of above.
Provenance (3 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.