Triple
T51739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Democratic Party |
E1014
|
entity |
| Predicate | lostPowerIn |
P3242
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Liberal Democratic Party, lostPowerIn, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostPowerIn Context triple: [Liberal Democratic Party, lostPowerIn, 1993]
-
A.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
-
B.
hasPower
Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
-
C.
fault
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
D.
inForceUntil
Indicates that a condition, rule, or agreement remains valid and operative up to a specified time or event.
-
E.
majorPowerIn
Indicates that an entity holds significant political, economic, or military influence within a specified domain, region, or context.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c709c248190bcd442c8d508e48c |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac3c8dc819099849023bdaa35a9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c6ff0588190b0fd864da9aa8569 |
completed | Feb. 28, 2026, 2:01 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.