Triple
T15392398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 長堀鶴見緑地線 |
E368079
|
entity |
| Predicate | 主要経由地 |
P65699
|
FINISHED |
| Object |
鶴見緑地
鶴見緑地は、大阪市鶴見区に位置し、花博記念公園鶴見緑地を中心とした広大な緑地とレジャー施設が集まる都市公園エリアである。
|
E1155371
|
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: 鶴見緑地 | Statement: [長堀鶴見緑地線, 主要経由地, 鶴見緑地]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 鶴見緑地 Context triple: [長堀鶴見緑地線, 主要経由地, 鶴見緑地]
-
A.
Shin-Yokohama Park
Shin-Yokohama Park is a large urban recreational area in Yokohama, Japan, known for encompassing Nissan Stadium and offering sports facilities, green spaces, and public event venues.
-
B.
Kita-Urawa Park
Kita-Urawa Park is a public green space in Saitama, Japan, known for its recreational areas and proximity to Kita-Urawa Station.
-
C.
Hanazono Central Park
Hanazono Central Park is a major public park in Higashiosaka, Japan, known for its expansive green spaces and recreational facilities.
-
D.
Maizuru Park
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
-
E.
Ōmiya Park
Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
- 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: 鶴見緑地 Triple: [長堀鶴見緑地線, 主要経由地, 鶴見緑地]
Generated description
鶴見緑地は、大阪市鶴見区に位置し、花博記念公園鶴見緑地を中心とした広大な緑地とレジャー施設が集まる都市公園エリアである。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 鶴見緑地 Target entity description: 鶴見緑地は、大阪市鶴見区に位置し、花博記念公園鶴見緑地を中心とした広大な緑地とレジャー施設が集まる都市公園エリアである。
-
A.
Shin-Yokohama Park
Shin-Yokohama Park is a large urban recreational area in Yokohama, Japan, known for encompassing Nissan Stadium and offering sports facilities, green spaces, and public event venues.
-
B.
Kita-Urawa Park
Kita-Urawa Park is a public green space in Saitama, Japan, known for its recreational areas and proximity to Kita-Urawa Station.
-
C.
Hanazono Central Park
Hanazono Central Park is a major public park in Higashiosaka, Japan, known for its expansive green spaces and recreational facilities.
-
D.
Maizuru Park
Maizuru Park is a historic public park in Fukuoka, Japan, known for its cherry blossoms and the ruins of Fukuoka Castle.
-
E.
Ōmiya Park
Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
- 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.