Triple
T8406452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiga University |
E198511
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hikone, Shiga Prefecture |
E372313
|
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: Hikone, Shiga Prefecture | Statement: [Shiga University, locatedIn, Hikone, Shiga Prefecture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikone, Shiga Prefecture Context triple: [Shiga University, locatedIn, Hikone, Shiga Prefecture]
-
A.
Kōka, Shiga Prefecture
Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
-
B.
Hikone
chosen
Hikone is a historic city in Shiga Prefecture, Japan, best known for its well-preserved Hikone Castle overlooking Lake Biwa.
-
C.
Habikino, Osaka
Habikino is a city in Osaka Prefecture, Japan, historically notable for its large kofun burial mounds and ancient imperial tombs.
-
D.
Moriyama, Shiga
Moriyama, Shiga is a city in central Japan known for its location on the southeastern shore of Lake Biwa and its blend of residential, commercial, and historical areas.
-
E.
Kusatsu, Shiga
Kusatsu, Shiga is a city in Japan’s Kansai region known as a residential and commercial hub within the greater Kyoto–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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8312941c8190af0b2def0a4e02be |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce397e169c8190b2decf637b422e6c |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:05 p.m.