Triple
T30442429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo (Narita) – Okinawa (Naha) |
E774485
|
entity |
| Predicate | connectsMainlandToIslands |
P154802
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 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: true | Statement: [Tokyo (Narita) – Okinawa (Naha), connectsMainlandToIslands, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsMainlandToIslands Context triple: [Tokyo (Narita) – Okinawa (Naha), connectsMainlandToIslands, true]
-
A.
connectsMainland
Indicates a relationship where something serves as a link or route joining a mainland to another land area or location.
-
B.
connectsIslandWithMainland
chosen
Indicates a relationship where a structure or route provides a direct link between an island and the mainland.
-
C.
connectsIslands
Indicates a relationship where something (such as a structure, route, or link) joins or provides passage between two or more islands.
-
D.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
-
E.
connectsPeninsulaTo
Indicates a relationship where a geographic feature or structure links a peninsula to another landmass or area.
- F. None of above.
Provenance (3 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: April 29, 2026, 8:08 p.m.