Triple
T13627422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-Urawa Station |
E325620
|
entity |
| Predicate | nearbyFacility |
P350
|
FINISHED |
| Object |
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.
|
E1051651
|
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: Kita-Urawa Park | Statement: [Kita-Urawa Station, nearbyFacility, Kita-Urawa Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kita-Urawa Park Context triple: [Kita-Urawa Station, nearbyFacility, Kita-Urawa Park]
-
A.
Okubo Park
Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
-
B.
Ōmiya Park
Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
-
C.
Miyashita Park
Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
-
D.
Mizumoto Park
Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
-
E.
Shikishima Park
Shikishima Park is a large public park in Maebashi, Japan, known for its expansive green spaces, seasonal flowers, and recreational facilities.
- 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: Kita-Urawa Park Triple: [Kita-Urawa Station, nearbyFacility, Kita-Urawa Park]
Generated description
Kita-Urawa Park is a public green space in Saitama, Japan, known for its recreational areas and proximity to Kita-Urawa Station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kita-Urawa Park Target entity description: Kita-Urawa Park is a public green space in Saitama, Japan, known for its recreational areas and proximity to Kita-Urawa Station.
-
A.
Okubo Park
Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
-
B.
Ōmiya Park
Ōmiya Park is a large public park in Saitama, Japan, known for its cherry blossoms, sports facilities, and the Hikawa Shrine.
-
C.
Miyashita Park
Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
-
D.
Mizumoto Park
Mizumoto Park is a large riverside public park in Tokyo known for its expansive greenery, ponds, and popular iris garden.
-
E.
Shikishima Park
Shikishima Park is a large public park in Maebashi, Japan, known for its expansive green spaces, seasonal flowers, and recreational facilities.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa6a46881909d381d76d391f5b7 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:51 p.m.