Triple
T616032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admiral Graf Spee |
E14405
|
entity |
| Predicate | serviceEntryPeriod |
P17164
|
FINISHED |
| Object | interwar period |
—
|
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: interwar period | Statement: [Admiral Graf Spee, serviceEntryPeriod, interwar period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceEntryPeriod Context triple: [Admiral Graf Spee, serviceEntryPeriod, interwar period]
-
A.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
B.
serviceDays
Indicates the specific days on which a service is provided or operates.
-
C.
serviceDuring
Indicates that one entity performs or provides a service for another entity during a specified time period or event.
-
D.
eligibilityPeriod
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
-
E.
serviceYears
Indicates the number of years an entity has provided service or been in a particular role, position, or organization.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e0b438881909ad515adf7a4eb79 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfbcbf88190a854921dc531eba8 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.