Triple
T4127124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chōfu |
E92751
|
entity |
| Predicate | railwayStation |
P918
|
FINISHED |
| Object |
Kokuryō Station
Kokuryō Station is a passenger railway station in Chōfu, Tokyo, Japan, served by the Keio Line.
|
E871054
|
NE FINISHED |
How this triple was built (4 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: Kokuryō Station | Statement: [Chōfu, railwayStation, Kokuryō Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kokuryō Station Context triple: [Chōfu, railwayStation, Kokuryō Station]
-
A.
Rokkomichi Station
Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
-
B.
Gekkōji Station
Gekkōji Station is a railway station in Fujiyoshida, Yamanashi Prefecture, Japan, serving local passengers near the base of Mount Fuji.
-
C.
Kawauchi Station
Kawauchi Station is a railway station in Sendai, Japan, serving as a primary public transit access point for the nearby Kawauchi Campus of Tohoku University.
-
D.
Makishi Station
Makishi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in Naha, Japan, serving the busy Kokusai-dori shopping and entertainment district.
-
E.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kokuryō Station Triple: [Chōfu, railwayStation, Kokuryō Station]
Generated description
Kokuryō Station is a passenger railway station in Chōfu, Tokyo, Japan, served by the Keio Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kokuryō Station Target entity description: Kokuryō Station is a passenger railway station in Chōfu, Tokyo, Japan, served by the Keio Line.
-
A.
Rokkomichi Station
Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
-
B.
Gekkōji Station
Gekkōji Station is a railway station in Fujiyoshida, Yamanashi Prefecture, Japan, serving local passengers near the base of Mount Fuji.
-
C.
Kawauchi Station
Kawauchi Station is a railway station in Sendai, Japan, serving as a primary public transit access point for the nearby Kawauchi Campus of Tohoku University.
-
D.
Makishi Station
Makishi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in Naha, Japan, serving the busy Kokusai-dori shopping and entertainment district.
-
E.
Osakako Station
Osakako Station is a railway station in Osaka, Japan, serving the Osaka Metro Chūō Line and providing access to the Osaka Bay area’s attractions.
- F. None of above. chosen
Provenance (5 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af021b17a08190b520101f54ec1e33 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9330fa33c8190b507ad18362a6c64 |
completed | April 10, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_69d93802a4488190aa86ae209650d4e7 |
completed | April 10, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d938fcc3c48190a4acaaf75c1aa304 |
completed | April 10, 2026, 5:53 p.m. |
Created at: March 9, 2026, 3:42 p.m.