Triple
T21495844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanai |
E530349
|
entity |
| Predicate | mergerPartnerOf |
P6600
|
FINISHED |
| Object | Niibo |
—
|
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: Niibo | Statement: [Kanai, mergerPartnerOf, Niibo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niibo Context triple: [Kanai, mergerPartnerOf, Niibo]
-
A.
Niibo
chosen
Niibo was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
-
B.
Nicoo
Nicoo is an alternative spelling or variant form of the name Nico, often used as a personal or online nickname.
-
C.
Abiboo
Abiboo is a fictional character appearing in the 1935 British film "Sanders of the River," set in colonial Nigeria.
-
D.
Gogo Nushi
Gogo Nushi was an Albanian communist partisan leader and politician who played a significant role in the country’s World War II resistance movement and postwar government.
-
E.
Nob
Nob was an ancient priestly town in Israel, known as a sanctuary where the tabernacle and sacred objects were kept.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea582d9c8190b95ff6e1b8179b81 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:23 p.m.