Triple
T3700580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seto Inland Sea |
E78567
|
entity |
| Predicate | bordersPrefecture |
P49472
|
FINISHED |
| Object | Hiroshima Prefecture |
—
|
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: Hiroshima Prefecture | Statement: [Seto Inland Sea, bordersPrefecture, Hiroshima Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bordersPrefecture Context triple: [Seto Inland Sea, bordersPrefecture, Hiroshima Prefecture]
-
A.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
B.
hasPrefecture
Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
-
C.
hasNearbyPrefecture
Indicates that one administrative region has another prefecture located geographically close to it.
-
D.
isPrefecturalCityOf
Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
-
E.
subprefectureOf
Indicates that one administrative subprefecture is a subordinate division within and officially belongs to a larger governing region or prefecture.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb903be308190a8f1925f99e67c68 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:26 p.m.