Triple
T2169245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo 17 |
E46983
|
entity |
| Predicate | lastApolloLunarLandingMission |
P12730
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Apollo 17, lastApolloLunarLandingMission, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastApolloLunarLandingMission Context triple: [Apollo 17, lastApolloLunarLandingMission, true]
-
A.
lastLunarLandingMission
chosen
Indicates that the mission is the most recent one in which a spacecraft successfully landed on the Moon.
-
B.
firstMannedLunarOrbitMission
Indicates that the subject is the first mission in which humans successfully entered into orbit around the Moon.
-
C.
ArtemisIVMissionType
Indicates the specific category or classification of the Artemis IV mission based on its planned objectives or operational profile.
-
D.
callSignLunarModule
Indicates the designated radio call sign assigned to a specific lunar module.
-
E.
timeOnLunarSurface
Indicates the duration that an entity spends on the surface of the Moon.
- 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.