Triple
T17144619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamamo Park |
E416057
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
玉藻公園
玉藻公園 is a historic park in Takamatsu, Kagawa Prefecture, best known for encompassing the ruins and gardens of Takamatsu Castle along the Seto Inland Sea.
|
E1253262
|
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: 玉藻公園 | Statement: [Tamamo Park, hasNameInJapanese, 玉藻公園]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 玉藻公園 Context triple: [Tamamo Park, hasNameInJapanese, 玉藻公園]
-
A.
鶴舞公園
鶴舞公園は、名古屋市中区に位置する桜の名所として知られる歴史ある都市公園です。
-
B.
山下公園
山下公園は、横浜港を望む海沿いの景観やバラ園などで知られる横浜市中区の代表的な都市公園です。
-
C.
Yumenoshima Park
Yumenoshima Park is a large recreational green space in Tokyo known for its sports facilities, tropical greenhouse dome, and waterfront location on a reclaimed island.
-
D.
Naminoue Umisora Park
Naminoue Umisora Park is a seaside recreational park in Naha, Okinawa, known for its coastal views, beach access, and proximity to the historic Naminoue Shrine.
-
E.
Aobayama Park
Aobayama Park is a scenic public park in Sendai, Japan, known for its lush greenery, historical sites, and panoramic views over 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: 玉藻公園 Triple: [Tamamo Park, hasNameInJapanese, 玉藻公園]
Generated description
玉藻公園 is a historic park in Takamatsu, Kagawa Prefecture, best known for encompassing the ruins and gardens of Takamatsu Castle along the Seto Inland Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 玉藻公園 Target entity description: 玉藻公園 is a historic park in Takamatsu, Kagawa Prefecture, best known for encompassing the ruins and gardens of Takamatsu Castle along the Seto Inland Sea.
-
A.
鶴舞公園
鶴舞公園は、名古屋市中区に位置する桜の名所として知られる歴史ある都市公園です。
-
B.
山下公園
山下公園は、横浜港を望む海沿いの景観やバラ園などで知られる横浜市中区の代表的な都市公園です。
-
C.
Yumenoshima Park
Yumenoshima Park is a large recreational green space in Tokyo known for its sports facilities, tropical greenhouse dome, and waterfront location on a reclaimed island.
-
D.
Naminoue Umisora Park
Naminoue Umisora Park is a seaside recreational park in Naha, Okinawa, known for its coastal views, beach access, and proximity to the historic Naminoue Shrine.
-
E.
Aobayama Park
Aobayama Park is a scenic public park in Sendai, Japan, known for its lush greenery, historical sites, and panoramic views over 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d8ca8c81909bba0cd6d60a4776 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415718c88190834fedae7b01ac69 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a014529e7908190bab3e351cdc78c7c |
completed | May 11, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014595ca108190ad1587287987fc01 |
completed | May 11, 2026, 2:57 a.m. |
Created at: April 10, 2026, 5:36 a.m.