Triple
T999639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Army |
E21573
|
entity |
| Predicate | disestablishedInCentury |
P5251
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [English Army, disestablishedInCentury, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disestablishedInCentury Context triple: [English Army, disestablishedInCentury, 18th century]
-
A.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
-
B.
declinedAfterCentury
Indicates that something experienced a reduction, deterioration, or loss of prominence after the end of a specified century.
-
C.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
D.
attestedUntilCentury
Indicates the latest century up to which the existence or use of something is historically documented or evidenced.
-
E.
ceasedOperationsCentury
chosen
Indicates the century during which an entity stopped operating or ended its activities.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4e3d8b081908e536928e7d6199d |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
Created at: March 1, 2026, 7:41 p.m.