Triple
T21130503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition 14 |
E520670
|
entity |
| Predicate | totalEVA_time_hours |
P51373
|
FINISHED |
| Object | 33.5 |
—
|
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: 33.5 | Statement: [Expedition 14, totalEVA_time_hours, 33.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalEVA_time_hours Context triple: [Expedition 14, totalEVA_time_hours, 33.5]
-
A.
evaDuration
Indicates the length of time that an extravehicular activity (EVA) lasts or is scheduled to last.
-
B.
crewEVAHours
chosen
Indicates the total number of hours that crew members spend performing extravehicular activities (spacewalks) outside their vehicle or habitat.
-
C.
durationTotal
Indicates the overall length of time for which an event, process, or state persists, typically aggregating all its constituent durations.
-
D.
endTimeDetail
Indicates the specific or refined information about when an event, action, or state concludes.
-
E.
spentTimeIn
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723556ec08190a2ade96c76f9cec7 |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.