Triple
T26088589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Law |
E658052
|
entity |
| Predicate | dateOfDisappearanceFromPower |
P78351
|
FINISHED |
| Object | 1720 |
—
|
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: 1720 | Statement: [John Law, dateOfDisappearanceFromPower, 1720]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfDisappearanceFromPower Context triple: [John Law, dateOfDisappearanceFromPower, 1720]
-
A.
lostPowerDate
Indicates the date on which an entity lost electrical power or ceased to have power available.
-
B.
lostTemporalPower
chosen
Indicates that an entity has ceased to hold or exercise secular or time-bound authority or control it previously possessed.
-
C.
timeOfDisappearance
Indicates the specific time at which an entity disappeared or was last observed to no longer be present.
-
D.
lostPowerInYear
Indicates that an entity ceased to hold power, authority, or control in a specified year.
-
E.
lostPowerDuring
Indicates that an entity ceased to have electrical or functional power at some time during a specified event or interval.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 26, 2026, 7:45 p.m.