Triple
T22184411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Inubō |
E548254
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object |
Inubōsaki
Inubōsaki is a coastal cape in Chōshi, Chiba Prefecture, Japan, known for its scenic Pacific Ocean views and historic lighthouse.
|
E1525372
|
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: Inubōsaki | Statement: [Cape Inubō, romanization, Inubōsaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inubōsaki Context triple: [Cape Inubō, romanization, Inubōsaki]
-
A.
Yoroshima
Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
-
B.
Unoshima
Unoshima is a small island located within Lake Kawaguchi, a scenic lake near Mount Fuji in Japan.
-
C.
Amakashi-no-oka
Amakashi-no-oka is a historic hill in Japan’s Asuka region, known as an ancient political and cultural center associated with early Japanese state formation.
-
D.
Yumenoshima
Yumenoshima is a reclaimed island in Tokyo Bay known for its parks, sports and recreational facilities, and former landfill history.
-
E.
Yumedono
Yumedono is a renowned octagonal hall within the Hōryū-ji temple complex in Nara, Japan, celebrated for its elegant Asuka-period architecture and important Buddhist statues.
- 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: Inubōsaki Triple: [Cape Inubō, romanization, Inubōsaki]
Generated description
Inubōsaki is a coastal cape in Chōshi, Chiba Prefecture, Japan, known for its scenic Pacific Ocean views and historic lighthouse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inubōsaki Target entity description: Inubōsaki is a coastal cape in Chōshi, Chiba Prefecture, Japan, known for its scenic Pacific Ocean views and historic lighthouse.
-
A.
Yoroshima
Yoroshima is a small island that is part of Japan’s subtropical Amami archipelago in Kagoshima Prefecture.
-
B.
Unoshima
Unoshima is a small island located within Lake Kawaguchi, a scenic lake near Mount Fuji in Japan.
-
C.
Amakashi-no-oka
Amakashi-no-oka is a historic hill in Japan’s Asuka region, known as an ancient political and cultural center associated with early Japanese state formation.
-
D.
Yumenoshima
Yumenoshima is a reclaimed island in Tokyo Bay known for its parks, sports and recreational facilities, and former landfill history.
-
E.
Yumedono
Yumedono is a renowned octagonal hall within the Hōryū-ji temple complex in Nara, Japan, celebrated for its elegant Asuka-period architecture and important Buddhist statues.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa75440819084cbe9176b9edb47 |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aae612f0c8190b10584b8d2e70d06 |
completed | May 18, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_6a0aaf98f8548190b046af768e1d2beb |
completed | May 18, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aaff022608190be73f127ee44d7d9 |
completed | May 18, 2026, 6:21 a.m. |
Created at: April 16, 2026, 8:35 p.m.