Triple
T11309655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 交野市 |
E267803
|
entity |
| Predicate | 鉄道路線 |
P848
|
FINISHED |
| Object |
JR片町線
JR片町線(学研都市線)は、大阪府と京都府南部を結び、京橋駅から木津駅までを結ぶ西日本旅客鉄道(JR西日本)の都市近郊型鉄道路線である。
|
E917319
|
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: JR片町線 | Statement: [交野市, 鉄道路線, JR片町線]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JR片町線 Context triple: [交野市, 鉄道路線, JR片町線]
-
A.
長堀鶴見緑地線
長堀鶴見緑地線は、大阪市中心部と鶴見緑地方面を結ぶ大阪市高速電気軌道(Osaka Metro)の地下鉄路線です。
-
B.
京阪本線
京阪本線は、大阪と京都を結び京阪電気鉄道の主要幹線として都市間輸送や通勤・通学需要を担う鉄道路線です。
-
C.
Kintetsu Namba Line
The Kintetsu Namba Line is a major commuter railway line in Osaka, Japan, operated by Kintetsu Railway and connecting central Osaka with the wider Kintetsu network.
-
D.
Hanshin Namba Line
The Hanshin Namba Line is a Japanese railway line in the Kansai region that connects Osaka’s Namba area with the Hanshin network, providing through services between central Osaka and Kobe/Nara.
-
E.
Yotsubashi Line
The Yotsubashi Line is a rapid transit line in Osaka, Japan, forming part of the Osaka Metro network and serving key north–south corridors through the city.
- 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: JR片町線 Triple: [交野市, 鉄道路線, JR片町線]
Generated description
JR片町線(学研都市線)は、大阪府と京都府南部を結び、京橋駅から木津駅までを結ぶ西日本旅客鉄道(JR西日本)の都市近郊型鉄道路線である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JR片町線 Target entity description: JR片町線(学研都市線)は、大阪府と京都府南部を結び、京橋駅から木津駅までを結ぶ西日本旅客鉄道(JR西日本)の都市近郊型鉄道路線である。
-
A.
長堀鶴見緑地線
長堀鶴見緑地線は、大阪市中心部と鶴見緑地方面を結ぶ大阪市高速電気軌道(Osaka Metro)の地下鉄路線です。
-
B.
京阪本線
京阪本線は、大阪と京都を結び京阪電気鉄道の主要幹線として都市間輸送や通勤・通学需要を担う鉄道路線です。
-
C.
Kintetsu Namba Line
The Kintetsu Namba Line is a major commuter railway line in Osaka, Japan, operated by Kintetsu Railway and connecting central Osaka with the wider Kintetsu network.
-
D.
Hanshin Namba Line
The Hanshin Namba Line is a Japanese railway line in the Kansai region that connects Osaka’s Namba area with the Hanshin network, providing through services between central Osaka and Kobe/Nara.
-
E.
Yotsubashi Line
The Yotsubashi Line is a rapid transit line in Osaka, Japan, forming part of the Osaka Metro network and serving key north–south corridors through the city.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a70022081908bc74185003a3503 |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510fb1e288190a7a38fe896d7b91d |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.