Triple
T21382969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gifu Prefecture |
E527409
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kani |
—
|
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: Kani | Statement: [Gifu Prefecture, hasCity, Kani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kani Context triple: [Gifu Prefecture, hasCity, Kani]
-
A.
Kani
chosen
Kani is a city in Gifu Prefecture, Japan, known as a regional industrial and residential hub within the Chūbu area.
-
B.
K’ana
K’ana is an alternative name for Espinar Province, a highland administrative region in the Cusco Department of southern Peru known for its Andean culture and mining activities.
-
C.
Kani Masi
Kani Masi is a village located in the Shekhan District of the Kurdistan Region in northern Iraq.
-
D.
Kankanay
Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
-
E.
Kankinara
Kankinara is a suburban locality in West Bengal, India, known for its railway station on the Kolkata suburban network and its surrounding residential and industrial areas.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f05278819096c511035ffc9777 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.