Triple
T11854626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohmi Railway Main Line |
E282002
|
entity |
| Predicate | depot |
P14646
|
FINISHED |
| Object |
Hikone Depot
Hikone Depot is a railway maintenance and storage facility serving trains on the Ohmi Railway network in Hikone, Shiga Prefecture, Japan.
|
E999962
|
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: Hikone Depot | Statement: [Ohmi Railway Main Line, depot, Hikone Depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hikone Depot Context triple: [Ohmi Railway Main Line, depot, Hikone Depot]
-
A.
Nakano Depot
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
-
B.
Kasukabe Depot
Kasukabe Depot is a railway maintenance and storage facility in Kasukabe, Saitama Prefecture, serving Tokyo Metro’s subway rolling stock.
-
C.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
D.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
E.
Shinkiba Depot
Shinkiba Depot is a Tokyo Metro rail facility in the Shinkiba area used for the storage, inspection, and maintenance of Yurakuchō Line trains.
- 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: Hikone Depot Triple: [Ohmi Railway Main Line, depot, Hikone Depot]
Generated description
Hikone Depot is a railway maintenance and storage facility serving trains on the Ohmi Railway network in Hikone, Shiga Prefecture, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hikone Depot Target entity description: Hikone Depot is a railway maintenance and storage facility serving trains on the Ohmi Railway network in Hikone, Shiga Prefecture, Japan.
-
A.
Nakano Depot
Nakano Depot is a major Tokyo Metro facility used for the storage, inspection, and maintenance of Marunouchi Line trains.
-
B.
Kasukabe Depot
Kasukabe Depot is a railway maintenance and storage facility in Kasukabe, Saitama Prefecture, serving Tokyo Metro’s subway rolling stock.
-
C.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
-
D.
Suminoe Depot
Suminoe Depot is a railway maintenance and storage facility serving Osaka Metro’s Yotsubashi Line in Osaka, Japan.
-
E.
Shinkiba Depot
Shinkiba Depot is a Tokyo Metro rail facility in the Shinkiba area used for the storage, inspection, and maintenance of Yurakuchō Line trains.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5c80cc819099b0ad7a2911781c |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67db4dd2081909a238e368645e899 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ec570a881909c98471b701999f0 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 8, 2026, 9:43 p.m.