Triple
T5582253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle |
E146666
|
entity |
| Predicate | firstHumanMoonLandingVehicle |
P37882
|
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: [Eagle, firstHumanMoonLandingVehicle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHumanMoonLandingVehicle Context triple: [Eagle, firstHumanMoonLandingVehicle, true]
-
A.
usedLunarRovingVehicle
Indicates that an entity operated or traveled using a lunar roving vehicle during a lunar mission or activity.
-
B.
lunarRovingVehicleNumber
Indicates the identifying number assigned to a specific lunar roving vehicle in a mission or dataset.
-
C.
firstHumanOnMoon
Indicates that the subject is the first human ever to set foot on the Moon.
-
D.
firstMannedLunarLandingMission
chosen
Indicates that the subject is the first crewed space mission to successfully land humans on the Moon.
-
E.
lunarModulePilot
Indicates that the subject serves as the pilot of a lunar module in a space mission.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208333f08190bf0049b6bdd280f5 |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.