Triple
T3306304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakishima Islands (Osaka) |
E69457
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
INTEX Osaka
INTEX Osaka is a major international exhibition and convention center located in Osaka, Japan, hosting large-scale trade shows, conferences, and events.
|
E347222
|
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: INTEX Osaka | Statement: [Sakishima Islands (Osaka), hasPart, INTEX Osaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INTEX Osaka Context triple: [Sakishima Islands (Osaka), hasPart, INTEX Osaka]
-
A.
Osaka Evessa
Osaka Evessa is a professional Japanese basketball team based in Osaka that competes in the B.League.
-
B.
Yuasa
Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
-
C.
Kansai Kūkō
Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
-
D.
Shibaura Futo
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
-
E.
Matsuyama
Matsuyama is a major city on Japan’s Shikoku Island, known for its historic Dōgo Onsen hot spring and Matsuyama Castle.
- 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: INTEX Osaka Triple: [Sakishima Islands (Osaka), hasPart, INTEX Osaka]
Generated description
INTEX Osaka is a major international exhibition and convention center located in Osaka, Japan, hosting large-scale trade shows, conferences, and events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INTEX Osaka Target entity description: INTEX Osaka is a major international exhibition and convention center located in Osaka, Japan, hosting large-scale trade shows, conferences, and events.
-
A.
Osaka Evessa
Osaka Evessa is a professional Japanese basketball team based in Osaka that competes in the B.League.
-
B.
Yuasa
Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
-
C.
Kansai Kūkō
Kansai Kūkō is a major international airport built on an artificial island in Osaka Bay, serving the Kansai region of Japan.
-
D.
Shibaura Futo
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
-
E.
Matsuyama
Matsuyama is a major city on Japan’s Shikoku Island, known for its historic Dōgo Onsen hot spring and Matsuyama Castle.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0caa0988190872fc7648e64571f |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3e6e55881909417d54e0d8f0a26 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2fa93ebc0819084c4cdfdb8d6e48d |
completed | March 12, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b6e224819080957998acbed524 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.