Triple
T2212665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beiyang Fleet |
E50951
|
entity |
| Predicate | causeOfWeakness |
P36830
|
FINISHED |
| Object | corruption and misallocation of naval funds |
—
|
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: corruption and misallocation of naval funds | Statement: [Beiyang Fleet, causeOfWeakness, corruption and misallocation of naval funds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfWeakness Context triple: [Beiyang Fleet, causeOfWeakness, corruption and misallocation of naval funds]
-
A.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
B.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
C.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
D.
weakenedDuring
Indicates that an entity’s strength, intensity, or effectiveness is reduced over the course of a specified time period or event.
-
E.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfee6ae48190825ca792e8f99946 |
completed | March 7, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf0c2b8881908553eed5be17a9c2 |
completed | March 7, 2026, 6 a.m. |
Created at: March 4, 2026, 7:46 p.m.