Triple
T9723751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinagawa Station |
E235547
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Konan district |
E475686
|
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: Konan district | Statement: [Shinagawa Station, near, Konan district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konan district Context triple: [Shinagawa Station, near, Konan district]
-
A.
Kohlu District
Kohlu District is an administrative district in the Balochistan province of Pakistan, known for its rugged terrain and predominantly Baloch population.
-
B.
Miura District
chosen
Miura District is a rural administrative district in Kanagawa Prefecture, Japan, known for its coastal towns and scenic Miura Peninsula landscapes.
-
C.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Senkawa district
Senkawa district is a residential neighborhood in Tokyo, Japan, known for its convenient urban location and access to public transportation.
-
E.
Ōshima District
Ōshima District is an administrative district in Kagoshima Prefecture, Japan, encompassing several islands in the Amami archipelago, including Yoronjima.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e77096481908ffd315fecb1d5ec |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcc45bfc81909b86d10598d9bd39 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:21 p.m.