Triple
T13628620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikema-jima |
E325653
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object |
Ikema district
Ikema district is an administrative area encompassing Ikema Island, part of Japan’s Miyako Islands in Okinawa Prefecture.
|
E1096187
|
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: Ikema district | Statement: [Ikema-jima, hasRegion, Ikema district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikema district Context triple: [Ikema-jima, hasRegion, Ikema district]
-
A.
Surobi District
Surobi District is an administrative district in Kabul Province, Afghanistan, known for its strategic location along key roads and the presence of major hydroelectric infrastructure.
-
B.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
-
C.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Nam District
Nam District is an administrative district (gu) of the metropolitan city of Busan in South Korea, known for its coastal location and urban residential areas.
-
E.
Nawada district
Nawada district is an administrative district in the Indian state of Bihar, known for its location in the historically significant Magadh region.
- 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: Ikema district Triple: [Ikema-jima, hasRegion, Ikema district]
Generated description
Ikema district is an administrative area encompassing Ikema Island, part of Japan’s Miyako Islands in Okinawa Prefecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ikema district Target entity description: Ikema district is an administrative area encompassing Ikema Island, part of Japan’s Miyako Islands in Okinawa Prefecture.
-
A.
Surobi District
Surobi District is an administrative district in Kabul Province, Afghanistan, known for its strategic location along key roads and the presence of major hydroelectric infrastructure.
-
B.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
-
C.
Kaifu District
Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
D.
Nam District
Nam District is an administrative district (gu) of the metropolitan city of Busan in South Korea, known for its coastal location and urban residential areas.
-
E.
Nawada district
Nawada district is an administrative district in the Indian state of Bihar, known for its location in the historically significant Magadh region.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c20e45c8190968a5d88a2b3fe37 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd5067188c81908328426b8bafb6dc |
completed | May 8, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd511fe3d48190af66cb10abeb7499 |
completed | May 8, 2026, 2:57 a.m. |
Created at: April 9, 2026, 9:51 p.m.