Triple
T21419152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalag Luft I |
E528386
|
entity |
| Predicate | hasPrisonerNationalityMajority |
P74411
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Stalag Luft I, hasPrisonerNationalityMajority, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrisonerNationalityMajority Context triple: [Stalag Luft I, hasPrisonerNationalityMajority, American]
-
A.
hasPrisonerNationality
chosen
Indicates that a prisoner is associated with a specific nationality.
-
B.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
C.
hasOfficialLanguageMajority
Indicates that a specified language is spoken by the majority of the population within a given political or geographic entity.
-
D.
hasMinorityIn
Indicates that one entity holds a non-controlling, minority ownership or stake in another entity.
-
E.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2ccddc08190b4f66fa6ccda41e2 |
completed | April 22, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:47 p.m.