Triple
T18367213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selenological and Engineering Explorer |
E440078
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Kaguya |
—
|
NE NERFINISHED |
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: Kaguya | Statement: [Selenological and Engineering Explorer, alsoKnownAs, Kaguya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaguya Context triple: [Selenological and Engineering Explorer, alsoKnownAs, Kaguya]
-
A.
Kaguya
chosen
Kaguya is a Japanese lunar orbiter mission by JAXA that conducted detailed mapping and scientific investigation of the Moon’s surface and gravitational field.
-
B.
Princess Kaguya
Princess Kaguya is the moon princess from the classic Japanese folktale "The Tale of the Bamboo Cutter," renowned as one of Japan’s oldest and most famous literary works.
-
C.
Kushi Inada Hime
Kushi Inada Hime is a goddess from Japanese mythology, best known as the wife of the storm god Susanoo and the rescued maiden in the Yamata no Orochi legend.
-
D.
Hidaka-hime
Hidaka-hime is the birth name of Empress Genshō, a Nara-period Japanese empress who ruled in the early 8th century.
-
E.
Asahi-hime
Asahi-hime was a Japanese noblewoman of the late Sengoku period, known for her politically significant marriage into the Tokugawa clan that helped secure alliances during Japan’s unification.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174f5f448190a1fc67d3039aadd9 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.