Triple
T11855465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōta, Tokyo |
E282024
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Senzokuike Park
Senzokuike Park is a scenic public park in Tokyo known for its large pond, walking paths, and tranquil natural setting.
|
E952883
|
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: Senzokuike Park | Statement: [Ōta, Tokyo, contains, Senzokuike Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senzokuike Park Context triple: [Ōta, Tokyo, contains, Senzokuike Park]
-
A.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
B.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
C.
Kannonzaki Park
Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
-
D.
Tokiwa Park
Tokiwa Park is a scenic public park in Asahikawa, Japan, known for its ponds, walking paths, and seasonal flower displays.
-
E.
Rinshi-no-mori Park
Rinshi-no-mori Park is a wooded urban park in Tokyo known for its rich greenery, walking trails, and tranquil natural atmosphere amid 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: Senzokuike Park Triple: [Ōta, Tokyo, contains, Senzokuike Park]
Generated description
Senzokuike Park is a scenic public park in Tokyo known for its large pond, walking paths, and tranquil natural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senzokuike Park Target entity description: Senzokuike Park is a scenic public park in Tokyo known for its large pond, walking paths, and tranquil natural setting.
-
A.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
B.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
C.
Kannonzaki Park
Kannonzaki Park is a coastal public park in Yokosuka, Japan, known for its scenic seaside views, walking trails, and historic lighthouse.
-
D.
Tokiwa Park
Tokiwa Park is a scenic public park in Asahikawa, Japan, known for its ponds, walking paths, and seasonal flower displays.
-
E.
Rinshi-no-mori Park
Rinshi-no-mori Park is a wooded urban park in Tokyo known for its rich greenery, walking trails, and tranquil natural atmosphere amid 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f41798b5888190b615d4e23fe3d55e |
completed | May 1, 2026, 3:01 a.m. |
| NEDg | Description generation | batch_69f41f16f43c81909f5d36e8b4b0b9c3 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4225a4b5c8190958aaddbd10035b1 |
completed | May 1, 2026, 3:47 a.m. |
Created at: April 8, 2026, 9:43 p.m.