Triple
T5951481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biosphere 2 |
E132406
|
entity |
| Predicate | numberOfCrewInMission1 |
P26357
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Biosphere 2, numberOfCrewInMission1, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCrewInMission1 Context triple: [Biosphere 2, numberOfCrewInMission1, 8]
-
A.
totalCrewMembers
chosen
Indicates the total number of crew members associated with a given entity or context.
-
B.
firstCrewedTestFlightCrew
Indicates that the subject is a member of the crew on the first crewed test flight of the referenced vehicle or mission.
-
C.
firstCrewMember
Indicates that the subject is the first (earliest or primary) member within a specified crew or group.
-
D.
numberOfAstronautsSelected
Indicates the quantity of astronauts that have been chosen or selected in a given context or selection process.
-
E.
firstCrewedMission
Indicates that the mission is the first instance in which humans were onboard or directly participated as crew.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.