Triple
T15604267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsukuba Express |
E375114
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Yashio |
—
|
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: Yashio | Statement: [Tsukuba Express, servesCity, Yashio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yashio Context triple: [Tsukuba Express, servesCity, Yashio]
-
A.
Yashio
Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
-
B.
Yashio
chosen
Yashio is a city in Saitama Prefecture, Japan, located on the outskirts of Tokyo and functioning largely as a residential commuter town.
-
C.
Yamaga
Yamaga is a historic city in Japan known for its traditional lantern festival and hot spring resorts in northern Kumamoto Prefecture.
-
D.
Gushikawa
Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
-
E.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7d9328819090e93d55881269a5 |
completed | April 16, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:12 a.m.