Triple
T12355133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States military tribunal in Manila |
E294591
|
entity |
| Predicate | executionMethodInYamashitaCase |
P104727
|
FINISHED |
| Object | hanging |
—
|
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: hanging | Statement: [United States military tribunal in Manila, executionMethodInYamashitaCase, hanging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: executionMethodInYamashitaCase Context triple: [United States military tribunal in Manila, executionMethodInYamashitaCase, hanging]
-
A.
executionBy
Indicates that one entity carries out or performs the execution (killing or implementation of a death sentence) of another entity.
-
B.
executionSide
Indicates which party or side in a transaction, contract, or interaction is responsible for performing or carrying out the specified action.
-
C.
keyExecutionMethod
Indicates the method or process by which a key (e.g., cryptographic or access key) is applied, used, or executed in a given context.
-
D.
يكسو
Indicates covering or clothing something or someone with a layer, garment, or surface.
-
E.
testedInCase
Indicates that something (such as a method, component, or behavior) is exercised or verified within a particular test case.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d9429ff2bc8190b09adf8f57fad451 |
completed | April 10, 2026, 6:34 p.m. |
Created at: April 8, 2026, 9:54 p.m.