Triple
T7268130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishinoshima |
E161029
|
entity |
| Predicate | pre2013Area |
P76040
|
FINISHED |
| Object | about 0.06 square kilometres |
—
|
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: about 0.06 square kilometres | Statement: [Nishinoshima, pre2013Area, about 0.06 square kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pre2013Area Context triple: [Nishinoshima, pre2013Area, about 0.06 square kilometres]
-
A.
cityArea
Indicates the total geographic area covered by a city.
-
B.
coreZoneArea
Indicates the area or spatial extent of a designated core zone within a larger region or system.
-
C.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
D.
venueArea
Indicates the physical size or spatial extent of a venue, typically measured in units such as square meters or square feet.
-
E.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:58 p.m.