Triple
T2388982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo 14 |
E48895
|
entity |
| Predicate | totalEVAOnMoonDuration |
P38136
|
FINISHED |
| Object | about 9 hours 24 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: about 9 hours 24 minutes | Statement: [Apollo 14, totalEVAOnMoonDuration, about 9 hours 24 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalEVAOnMoonDuration Context triple: [Apollo 14, totalEVAOnMoonDuration, about 9 hours 24 minutes]
-
A.
timeOnLunarSurface
Indicates the duration that an entity spends on the surface of the Moon.
-
B.
numberOfEVAsOnMoon
Indicates the total count of extravehicular activities (spacewalks) that have occurred on the Moon.
-
C.
evaCountOnMoon
Indicates the number of extravehicular activities (spacewalks) performed on the Moon.
-
D.
evaCountOnLunarSurface
Indicates the number of extravehicular activities (spacewalks) performed on the lunar surface.
-
E.
viewOnMoon
Indicates that an entity has a visual perspective or observable view from the surface or vicinity of the Moon.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7dca9248190b634ae9e02f6899a |
completed | March 7, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.