Triple
T11309659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 交野市 |
E267803
|
entity |
| Predicate | 鉄道駅 |
P918
|
FINISHED |
| Object |
津田駅
津田駅は、大阪府交野市に位置し、JR西日本の学研都市線（片町線）が乗り入れる地域の主要な鉄道駅です。
|
E917320
|
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: 津田駅 | Statement: [交野市, 鉄道駅, 津田駅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 津田駅 Context triple: [交野市, 鉄道駅, 津田駅]
-
A.
Niwa station
Niwa station is a subway station on Beijing's Line 9 serving passengers in the Fengtai District of Beijing, China.
-
B.
Kita-Toda Station
Kita-Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
-
C.
Yamada Station
Yamada Station is a railway station in Suita, Osaka Prefecture, Japan, serving as a local transit hub on regional rail lines.
-
D.
Tsuyama Station
Tsuyama Station is a regional railway hub in Tsuyama, Okayama Prefecture, Japan, serving as a key junction for local and intercity train services.
-
E.
Kamimaezu Station
Kamimaezu Station is a major subway station in Nagoya, Japan, serving as an important transfer point and access hub for nearby commercial and shopping areas.
- 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: 津田駅 Triple: [交野市, 鉄道駅, 津田駅]
Generated description
津田駅は、大阪府交野市に位置し、JR西日本の学研都市線（片町線）が乗り入れる地域の主要な鉄道駅です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 津田駅 Target entity description: 津田駅は、大阪府交野市に位置し、JR西日本の学研都市線（片町線）が乗り入れる地域の主要な鉄道駅です。
-
A.
Niwa station
Niwa station is a subway station on Beijing's Line 9 serving passengers in the Fengtai District of Beijing, China.
-
B.
Kita-Toda Station
Kita-Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
-
C.
Yamada Station
Yamada Station is a railway station in Suita, Osaka Prefecture, Japan, serving as a local transit hub on regional rail lines.
-
D.
Tsuyama Station
Tsuyama Station is a regional railway hub in Tsuyama, Okayama Prefecture, Japan, serving as a key junction for local and intercity train services.
-
E.
Kamimaezu Station
Kamimaezu Station is a major subway station in Nagoya, Japan, serving as an important transfer point and access hub for nearby commercial and shopping areas.
- 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.