Triple
T4431608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaguya (SELENE) |
E95342
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | SELENE |
E95342
|
NE 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: SELENE | Statement: [Kaguya (SELENE), alsoKnownAs, SELENE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SELENE Context triple: [Kaguya (SELENE), alsoKnownAs, SELENE]
-
A.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
B.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
C.
Luna spacecraft
The Luna spacecraft were a series of Soviet robotic probes launched between the late 1950s and 1970s that achieved many lunar exploration firsts, including the first human-made object to reach the Moon and the first soft landing on its surface.
-
D.
Kaguya (SELENE) lunar orbiter
chosen
Kaguya (SELENE) was a Japanese lunar orbiter mission that conducted detailed scientific mapping and observation of the Moon’s surface, gravity, and environment.
-
E.
Selene
Selene is the Greek goddess and personification of the Moon, often depicted driving a silver chariot across the night sky.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136f350c81908d00eff850951ab0 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.