Triple
T15839908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XSPEC |
E384073
|
entity |
| Predicate | supportsInstrument |
P12724
|
FINISHED |
| Object | Suzaku |
E384065
|
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: Suzaku | Statement: [XSPEC, supportsInstrument, Suzaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzaku Context triple: [XSPEC, supportsInstrument, Suzaku]
-
A.
Suzaku
chosen
Suzaku was a Japanese X-ray astronomy satellite, developed in collaboration with NASA, that studied high-energy phenomena such as black holes, supernova remnants, and galaxy clusters.
-
B.
Mikoto
Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
-
C.
Unryu
Unryu was a World War II-era Imperial Japanese Navy aircraft carrier that served in the Pacific Theater.
-
D.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
-
E.
Kiyotsune
Kiyotsune is a classical Japanese Noh play attributed to Zeami Motokiyo, centered on the tragic fate and lingering spirit of the Taira warrior Taira no Kiyotsune.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e69360819091ea0556bd66d785 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb03ac77081908f2b169d7d26b318 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:49 a.m.