Triple
T8232785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Primo de Rivera |
E192331
|
entity |
| Predicate | endTimeInPower |
P16881
|
FINISHED |
| Object | 1930 |
—
|
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: 1930 | Statement: [Miguel Primo de Rivera, endTimeInPower, 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeInPower Context triple: [Miguel Primo de Rivera, endTimeInPower, 1930]
-
A.
periodInPowerEnd
chosen
Indicates the point in time when an entity’s tenure or period in power comes to an end.
-
B.
airPowerUsedBy
Indicates that a particular actor employs or deploys air power (such as aircraft or aerial operations) as part of its activities or capabilities.
-
C.
inPowerDuring
Indicates that an entity holds a position of authority or governance throughout a specified time period.
-
D.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
E.
batteryLife
Indicates how long a device can operate on a single charge or set of batteries before needing to be recharged or replaced.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782658fc8190885dc267355ff245 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:46 p.m.