Triple
T2169227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo 17 |
E46983
|
entity |
| Predicate | totalLunarEVA_Time |
P26368
|
FINISHED |
| Object | 22 hours 4 minutes |
—
|
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: 22 hours 4 minutes | Statement: [Apollo 17, totalLunarEVA_Time, 22 hours 4 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalLunarEVA_Time Context triple: [Apollo 17, totalLunarEVA_Time, 22 hours 4 minutes]
-
A.
timeOnLunarSurface
chosen
Indicates the duration that an entity spends on the surface of the Moon.
-
B.
timeInSpace
Indicates the amount of time an entity has spent in outer space.
-
C.
spacewalks
Indicates that an astronaut performs activities outside a spacecraft in open space, typically while wearing a spacesuit and tethered or otherwise supported.
-
D.
lastLunarLandingMission
Indicates that the mission is the most recent one in which a spacecraft successfully landed on the Moon.
-
E.
totalAstronautsFlown
Indicates the total number of astronauts who have flown on a particular mission, vehicle, or program.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.