Triple
T17123100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashima Island |
E415516
|
entity |
| Predicate | purchasedByMitsubishi |
P126062
|
FINISHED |
| Object | 1890 |
—
|
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: 1890 | Statement: [Hashima Island, purchasedByMitsubishi, 1890]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purchasedByMitsubishi Context triple: [Hashima Island, purchasedByMitsubishi, 1890]
-
A.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
B.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
-
C.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
D.
manufacturedUnderContractIn
Indicates that something is produced or manufactured in a particular location under the terms of a contractual agreement.
-
E.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80b7e6881909f7635875549a2f1 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6d20808190a38bb32e2294bc48 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:36 a.m.