Triple
T6816683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakai City |
E156778
|
entity |
| Predicate | hasRomajiName |
P2508
|
FINISHED |
| Object | Sakai-shi |
E156778
|
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: Sakai-shi | Statement: [Sakai City, hasRomajiName, Sakai-shi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakai-shi Context triple: [Sakai City, hasRomajiName, Sakai-shi]
-
A.
Sakai City
chosen
Sakai City is a major urban center in Osaka Prefecture, Japan, known historically as a prosperous port and merchant city and today for its industrial base and cultural heritage.
-
B.
Katsuragi-shi
Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
-
C.
Takehara-shi
Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
-
D.
Shiojiri City
Shiojiri City is a regional city in central Japan known for its location in Nagano Prefecture’s mountainous inland area and its role as a transportation and agricultural hub.
-
E.
Saijō City
Saijō City is a municipality in Ehime Prefecture on Japan’s Shikoku Island, known as a gateway to Mount Ishizuchi and for its natural springs and scenic mountain landscapes.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6523db338819088e2fadf346ad845 |
completed | April 8, 2026, 1:03 p.m. |
Created at: March 27, 2026, 2:17 p.m.