Triple
T9975855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatsuno |
E196324
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Kamikawa |
E511156
|
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: Kamikawa | Statement: [Tatsuno, hasNeighboringMunicipality, Kamikawa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamikawa Context triple: [Tatsuno, hasNeighboringMunicipality, Kamikawa]
-
A.
Kamikawa
chosen
Kamikawa is a town in Hokkaido, Japan, known as a gateway to the mountainous landscapes and hot springs of Daisetsuzan National Park.
-
B.
Takarano
Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
-
C.
Takarano
Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
-
D.
Nagashima
Nagashima is a Japanese surname most famously associated with legendary baseball player and manager Shigeo Nagashima.
-
E.
Takaishi
Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e877c6188190817fb30f2c9a07bf |
completed | April 20, 2026, 8:48 a.m. |
Created at: March 30, 2026, 8:48 p.m.