Triple
T2389001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo 14 |
E48895
|
entity |
| Predicate | lunarSamplesMassReturned |
P37292
|
FINISHED |
| Object | about 42 kilograms |
—
|
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 42 kilograms | Statement: [Apollo 14, lunarSamplesMassReturned, about 42 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lunarSamplesMassReturned Context triple: [Apollo 14, lunarSamplesMassReturned, about 42 kilograms]
-
A.
returnedLunarSamplesMass
chosen
Indicates the total mass of lunar material that was brought back to Earth from a specific mission or activity.
-
B.
timeOnLunarSurface
Indicates the duration that an entity spends on the surface of the Moon.
-
C.
evaCountOnLunarSurface
Indicates the number of extravehicular activities (spacewalks) performed on the lunar surface.
-
D.
lastLunarLandingMission
Indicates that the mission is the most recent one in which a spacecraft successfully landed on the Moon.
-
E.
lunarRovingVehicleNumber
Indicates the identifying number assigned to a specific lunar roving vehicle in a mission or dataset.
- 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_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. |
Created at: March 4, 2026, 7:57 p.m.