Triple
T2591667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakai City Museum |
E58134
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | City of Sakai |
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: City of Sakai | Statement: [Sakai City Museum, operatedBy, City of Sakai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Sakai Context triple: [Sakai City Museum, operatedBy, City of Sakai]
-
A.
Kamitsumaki
Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
-
B.
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.
-
C.
Tokushima
Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
-
D.
Suita
Suita is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub that hosted part of Expo '70 and is home to Osaka University’s main campus.
-
E.
Ashiya
Ashiya is an affluent coastal city in Japan’s Hyōgo Prefecture, known for its upscale residential neighborhoods and proximity to both Kobe and Osaka.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd425851c819088db89713c07056f |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6589a9c48190b16b5b7959096aab |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.