Triple
T16518872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanshin Racecourse |
E401261
|
entity |
| Predicate | hostsRace |
P64218
|
FINISHED |
| Object |
Osaka Hai
Osaka Hai is a prestigious Grade 1 flat horse race in Japan for older thoroughbreds, run over 2000 meters at Hanshin Racecourse each spring.
|
E1232849
|
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: Osaka Hai | Statement: [Hanshin Racecourse, hostsRace, Osaka Hai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka Hai Context triple: [Hanshin Racecourse, hostsRace, Osaka Hai]
-
A.
Urawa
Urawa is a former city in Saitama Prefecture, Japan, now best known as part of Saitama City and for giving its name to the Urawa Red Diamonds football club.
-
B.
Nanyō
Nanyō is a city in Yamagata Prefecture, Japan, known for its hot springs, cherry orchards, and traditional festivals.
-
C.
Aioi
Aioi is a city in Hyōgo Prefecture, Japan, known for its coastal location along the Seto Inland Sea and its traditional fishing and maritime industries.
-
D.
Toyokan
Toyokan is a gallery building of the Tokyo National Museum that primarily showcases Asian art and archaeological artifacts from regions outside Japan.
-
E.
Hirakata, Osaka
Hirakata, Osaka is a city in northern Osaka Prefecture, Japan, known as a residential and educational hub between Osaka and Kyoto.
- 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: Osaka Hai Triple: [Hanshin Racecourse, hostsRace, Osaka Hai]
Generated description
Osaka Hai is a prestigious Grade 1 flat horse race in Japan for older thoroughbreds, run over 2000 meters at Hanshin Racecourse each spring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osaka Hai Target entity description: Osaka Hai is a prestigious Grade 1 flat horse race in Japan for older thoroughbreds, run over 2000 meters at Hanshin Racecourse each spring.
-
A.
Urawa
Urawa is a former city in Saitama Prefecture, Japan, now best known as part of Saitama City and for giving its name to the Urawa Red Diamonds football club.
-
B.
Nanyō
Nanyō is a city in Yamagata Prefecture, Japan, known for its hot springs, cherry orchards, and traditional festivals.
-
C.
Aioi
Aioi is a city in Hyōgo Prefecture, Japan, known for its coastal location along the Seto Inland Sea and its traditional fishing and maritime industries.
-
D.
Toyokan
Toyokan is a gallery building of the Tokyo National Museum that primarily showcases Asian art and archaeological artifacts from regions outside Japan.
-
E.
Hirakata, Osaka
Hirakata, Osaka is a city in northern Osaka Prefecture, Japan, known as a residential and educational hub between Osaka and Kyoto.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7ec45c8190b5e2c4a5f707e332 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae69d1481909f5514cc496f45b5 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00ab6a378c81909617da9720b51161 |
completed | May 10, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00abf09fe4819082ee0c6c6f702822 |
completed | May 10, 2026, 4:01 p.m. |
Created at: April 10, 2026, 5:14 a.m.