Triple
T22766366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tranquility Base |
E563137
|
entity |
| Predicate | firstHumanLandingSiteOnMoon |
P68352
|
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: [Tranquility Base, firstHumanLandingSiteOnMoon, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHumanLandingSiteOnMoon Context triple: [Tranquility Base, firstHumanLandingSiteOnMoon, true]
-
A.
firstHumanOnMoon
Indicates that the subject is the first human ever to set foot on the Moon.
-
B.
firstMannedLunarLandingMission
Indicates that the subject is the first crewed space mission to successfully land humans on the Moon.
-
C.
firstLandingBy
Indicates that one entity is the earliest or initial instance to arrive, land, or touch down at a particular place or target relative to others.
-
D.
wasLandingSiteForAstronaut
chosen
Indicates that a particular location served as the landing site for an astronaut.
-
E.
firstLunarLandingDate
Indicates the calendar date on which an entity’s first lunar landing occurred.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a80e2688190b76844c408929d32 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:26 p.m.