Triple
T27706083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UP |
E698562
|
entity |
| Predicate | yearLostPower |
P70098
|
FINISHED |
| Object | 1948 |
—
|
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: 1948 | Statement: [UP, yearLostPower, 1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearLostPower Context triple: [UP, yearLostPower, 1948]
-
A.
lostPowerInYear
chosen
Indicates that an entity ceased to hold power, authority, or control in a specified year.
-
B.
powerOutages
Indicates that there is a loss or interruption of electrical power supply affecting one or more entities or locations.
-
C.
lossOfPower
Indicates that an entity experiences a reduction or complete removal of its ability to exert control, influence, or operational capability.
-
D.
lostPowerInEvent
Indicates that an entity ceased to have power or electricity as a result of a specific event.
-
E.
countryUsesPower
Indicates that a country employs or exercises a particular form of power (such as political, economic, or military) in some context or toward some target.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f635c7005c8190860c9b01366c286a |
completed | May 2, 2026, 5:35 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:59 p.m.