Triple
T10169913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keisei Skyliner |
E235302
|
entity |
| Predicate | locale |
P387
|
FINISHED |
| Object | Chiba Prefecture |
E180374
|
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: Chiba Prefecture | Statement: [Keisei Skyliner, locale, Chiba Prefecture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiba Prefecture Context triple: [Keisei Skyliner, locale, Chiba Prefecture]
-
A.
Ibaraki Prefecture
Ibaraki Prefecture is a region in eastern Japan known for its agriculture, coastal landscapes, and scientific research centers such as the city of Tsukuba.
-
B.
Kanagawa Prefecture
Kanagawa Prefecture is a coastal region in Japan’s Kantō area, known for its major port city of Yokohama, historic Kamakura, and proximity to Tokyo.
-
C.
Ibaraki
Ibaraki is a city in northern Osaka Prefecture, Japan, known as a residential and industrial hub within the Kansai metropolitan area.
-
D.
Chiba
chosen
Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
-
E.
Saitama Prefecture
Saitama Prefecture is a landlocked administrative region in the Kantō area of Japan, just north of Tokyo, known for its large commuter population, industrial centers, and cultural sites.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9ba56481908b5265aea8ea8cbe |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef311c4819094b6b08a62d3afb3 |
completed | May 3, 2026, 7:53 a.m. |
Created at: March 30, 2026, 9:10 p.m.