Triple
T15392390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 長堀鶴見緑地線 |
E368079
|
entity |
| Predicate | 終点駅 |
P51834
|
FINISHED |
| Object |
門真南駅
門真南駅 is a railway station in Kadoma, Osaka, Japan, serving as the eastern terminus of Osaka Metro’s Nagahori Tsurumi-ryokuchi Line.
|
E1155368
|
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: 門真南駅 | Statement: [長堀鶴見緑地線, 終点駅, 門真南駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 門真南駅 Context triple: [長堀鶴見緑地線, 終点駅, 門真南駅]
-
A.
千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
-
B.
千駄ケ谷駅
千駄ケ谷駅は、東京都渋谷区に位置し、主にJR中央・総武線各駅停車が発着する駅です。
-
C.
高槻駅
高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
-
D.
Minami-Ōta Station
Minami-Ōta Station is a local railway station in Yokohama, Japan, serving passengers in the Minami Ward area.
-
E.
Morinomiya Station
Morinomiya Station is a railway and subway station complex in Osaka, Japan, serving as a key access point to the Osaka Castle area and several urban transit lines.
- 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: 門真南駅 Triple: [長堀鶴見緑地線, 終点駅, 門真南駅]
Generated description
門真南駅 is a railway station in Kadoma, Osaka, Japan, serving as the eastern terminus of Osaka Metro’s Nagahori Tsurumi-ryokuchi Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 門真南駅 Target entity description: 門真南駅 is a railway station in Kadoma, Osaka, Japan, serving as the eastern terminus of Osaka Metro’s Nagahori Tsurumi-ryokuchi Line.
-
A.
千駄木駅
千駄木駅は、東京都文京区に位置し、東京メトロ千代田線が乗り入れる下町情緒の残るエリアの主要な地下鉄駅です。
-
B.
千駄ケ谷駅
千駄ケ谷駅は、東京都渋谷区に位置し、主にJR中央・総武線各駅停車が発着する駅です。
-
C.
高槻駅
高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
-
D.
Minami-Ōta Station
Minami-Ōta Station is a local railway station in Yokohama, Japan, serving passengers in the Minami Ward area.
-
E.
Morinomiya Station
Morinomiya Station is a railway and subway station complex in Osaka, Japan, serving as a key access point to the Osaka Castle area and several urban transit lines.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1350699c8190acf7830d88455851 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff17c6837c8190a2b6fa1ac9c3de01 |
completed | May 9, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff184d63e88190906689e14cfc8933 |
completed | May 9, 2026, 11:19 a.m. |
Created at: April 10, 2026, 3:19 a.m.