Triple
T11010219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Harfleur |
E260225
|
entity |
| Predicate | termsOfSurrender |
P96989
|
FINISHED |
| Object | French allowed to march out under safe conduct |
—
|
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: French allowed to march out under safe conduct | Statement: [Siege of Harfleur, termsOfSurrender, French allowed to march out under safe conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termsOfSurrender Context triple: [Siege of Harfleur, termsOfSurrender, French allowed to march out under safe conduct]
-
A.
placeOfSurrender
Indicates the location where an entity formally surrendered to another party.
-
B.
resultOfSurrender
Indicates that something exists or occurs as a consequence or outcome of a surrender event or act of capitulation.
-
C.
surrenderedIn
Indicates that an entity yielded or gave up control, power, or resistance within a specific event, context, or situation.
-
D.
surrenderedAfter
Indicates that one entity surrendered following or as a consequence of another specified event, action, or time.
-
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. 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d733b27ffc81908ab1b8df198cd5c7 |
completed | April 9, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.