Triple
T9862194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sites of Japan’s Meiji Industrial Revolution (including Hashima Island) |
E239741
|
entity |
| Predicate | HashimaIslandAlsoKnownAs |
P90946
|
FINISHED |
| Object | Gunkanjima |
—
|
NE NERFINISHED |
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: Gunkanjima | Statement: [Sites of Japan’s Meiji Industrial Revolution (including Hashima Island), HashimaIslandAlsoKnownAs, Gunkanjima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HashimaIslandAlsoKnownAs Context triple: [Sites of Japan’s Meiji Industrial Revolution (including Hashima Island), HashimaIslandAlsoKnownAs, Gunkanjima]
-
A.
hasIslandNamedAfter
Indicates that an entity has an island that is named after it.
-
B.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
C.
hasSisterIsland
Indicates that one island is considered a sister island of another, typically implying a special paired or closely associated relationship between them.
-
D.
islandName
Indicates that an entity is identified by a specific island’s name.
-
E.
historicalUseNearbyIslands
Indicates that the subject has historically used nearby islands, such as for resources, settlement, travel, or strategic purposes.
- F. None of above. chosen
Provenance (4 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3b7b81c81909a84f6ced829f394 |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:35 p.m.