Triple
T1480727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sasazuka |
E30948
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object | Sasazuka Station |
E475831
|
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: Sasazuka Station | Statement: [Sasazuka, hasFacility, Sasazuka Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sasazuka Station Context triple: [Sasazuka, hasFacility, Sasazuka Station]
-
A.
Sasazuka Station
chosen
Sasazuka Station is a railway station in Shibuya, Tokyo, serving as a local transit hub on the Keio Line.
-
B.
Takaido Station
Takaido Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and providing local commuter access within the city.
-
C.
Toda Station
Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
-
D.
Shindaita Station
Shindaita Station is a railway station in Tokyo, Japan, serving passengers on the Keio Inokashira Line.
-
E.
Kanda Station
Kanda Station is a major railway station in central Tokyo that serves multiple JR East and Tokyo Metro lines and provides convenient access to the city's business districts.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c674cc9c819088fc9146c7a7a914 |
completed | March 1, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6f7ccdf4819099dbfcad566293ea |
completed | March 21, 2026, 10:14 a.m. |
Created at: March 1, 2026, 8:11 p.m.