Triple
T28714371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weihsien |
E729916
|
entity |
| Predicate | campRunBy |
P165252
|
FINISHED |
| Object | Japanese authorities |
—
|
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: Japanese authorities | Statement: [Weihsien, campRunBy, Japanese authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campRunBy Context triple: [Weihsien, campRunBy, Japanese authorities]
-
A.
campFunction
Indicates that an entity serves a particular role, purpose, or function within the context of a camp.
-
B.
hostedRunOf
Indicates that one entity served as the host or execution environment for a particular run or instance of another process or activity.
-
C.
campaignOrganizedBy
Indicates that a campaign is organized, coordinated, or run by a specified agent or organization.
-
D.
campNumber
Indicates the specific camp identifier or number associated with an entity.
-
E.
campStatus
Indicates the current state or condition of a camp, such as whether it is active, inactive, open, closed, or in another defined status.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 28, 2026, 5:50 a.m.