Triple
T17368563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibuki |
E422247
|
entity |
| Predicate | hasInstrument |
P35
|
FINISHED |
| Object | TANSO-CAI |
E410455
|
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: TANSO-CAI | Statement: [Ibuki, hasInstrument, TANSO-CAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TANSO-CAI Context triple: [Ibuki, hasInstrument, TANSO-CAI]
-
A.
TANSO-CAI
chosen
TANSO-CAI is a satellite-borne imaging instrument on Japan’s GOSAT mission designed to monitor clouds and aerosols to support greenhouse gas observations.
-
B.
TANSO-FTS
TANSO-FTS is a high-resolution Fourier transform spectrometer aboard Japan’s GOSAT satellite used to measure greenhouse gases like carbon dioxide and methane in Earth’s atmosphere.
-
C.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
-
D.
Tohana
Tohana is a town and municipal council in the Fatehabad district of the Indian state of Haryana, known as an agricultural and trading center in the region.
-
E.
Toyono
Toyono is a small town in Osaka Prefecture, Japan, known for its rural landscape and proximity to the Osaka metropolitan area.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6790448190a24047523a019f81 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019566da6c819083b59e0911d02bd5 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.