Triple
T6864361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taikō |
E158360
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | kampaku |
E408079
|
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: kampaku | Statement: [Taikō, relatedTo, kampaku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kampaku Context triple: [Taikō, relatedTo, kampaku]
-
A.
Kampaku
chosen
Kampaku was a powerful regent position in Japan’s imperial court, typically held by senior aristocrats who governed on behalf of an adult emperor.
-
B.
KAMPI
KAMPI is a Philippine political party closely associated with former President Gloria Macapagal Arroyo and her administration.
-
C.
kandake
Kandake was the royal title used for powerful queen mothers and ruling queens of the ancient Nubian Kingdom of Kush (including Meroë), often noted in Greco-Roman sources as "Candace."
-
D.
kupati
Kupati is a traditional Georgian sausage made from pork and offal, seasoned with spices and often grilled or fried.
-
E.
Kitanemuk
Kitanemuk is an extinct Uto-Aztecan language once spoken by the Kitanemuk people in what is now Southern California.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d88af6d88190ac9faa32fa1bfa0e |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72ff153d48190a4b0d4e403457fe8 |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:21 p.m.