Triple
T4674514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spandau Prison |
E103644
|
entity |
| Predicate | guardDutyRotation |
P13372
|
FINISHED |
| Object | monthly rotation among four Allied powers |
—
|
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: monthly rotation among four Allied powers | Statement: [Spandau Prison, guardDutyRotation, monthly rotation among four Allied powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guardDutyRotation Context triple: [Spandau Prison, guardDutyRotation, monthly rotation among four Allied powers]
-
A.
typicalHostRotation
Indicates that an entity normally or characteristically serves as the rotational host or primary environment in which another entity operates or resides.
-
B.
rotationPeriod_hours
Indicates the length of time, measured in hours, that an object takes to complete one full rotation on its axis.
-
C.
oversightTools
Indicates that certain tools or mechanisms are used to monitor, review, or supervise the actions or performance of an entity.
-
D.
dataRollover
Indicates that unused data from a previous period is carried over for use in a subsequent period.
-
E.
rotatesAmong
chosen
Indicates that an entity takes turns occupying or performing a role, position, or function in sequence with other entities.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.