Triple
T16091058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instrument of Surrender |
E390357
|
entity |
| Predicate | numberOfTroopsSurrendered |
P6153
|
FINISHED |
| Object | approximately 93000 |
—
|
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: approximately 93000 | Statement: [Instrument of Surrender, numberOfTroopsSurrendered, approximately 93000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTroopsSurrendered Context triple: [Instrument of Surrender, numberOfTroopsSurrendered, approximately 93000]
-
A.
garrisonSurrenderedTo
Indicates that a defending military garrison formally capitulated and yielded control to another party.
-
B.
numberOfTroopsInvolved
chosen
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
-
C.
surrenderedIn
Indicates that an entity yielded or gave up control, power, or resistance within a specific event, context, or situation.
-
D.
termsOfSurrender
Indicates the conditions and obligations agreed upon by parties when one side formally yields or capitulates to another.
-
E.
countrySurrendering
Indicates that one country formally yields to another country’s authority or control, typically ending a conflict or war.
- F. None of above.
Provenance (3 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:59 a.m.