Triple
T12917107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Enterprise-B |
E309012
|
entity |
| Predicate | crewComplementStatusOnLaunch |
P107004
|
FINISHED |
| Object | not fully equipped on maiden voyage |
—
|
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: not fully equipped on maiden voyage | Statement: [USS Enterprise-B, crewComplementStatusOnLaunch, not fully equipped on maiden voyage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewComplementStatusOnLaunch Context triple: [USS Enterprise-B, crewComplementStatusOnLaunch, not fully equipped on maiden voyage]
-
A.
crewStatus
Indicates the current operational or role-related condition of a crew member or crew group within a mission or organization.
-
B.
crewOnboard
Indicates that a person or group is serving as crew aboard a specific vehicle, vessel, or craft.
-
C.
crewComplementType
Indicates the classification or category of a crew complement associated with an entity (such as its role, composition, or staffing type).
-
D.
crewOnReturn
Indicates that a crew member is assigned to be on board a specific vehicle, mission, or vessel for its return journey.
-
E.
totalCrewMembers
Indicates the total number of crew members associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9708a86bc8190bcdcf97e845bb413 |
completed | April 10, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:41 p.m.