Triple
T3307031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Crown |
E69474
|
entity |
| Predicate | lostAuthorityInYear |
P47940
|
FINISHED |
| Object | 1789 |
—
|
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: 1789 | Statement: [French Crown, lostAuthorityInYear, 1789]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostAuthorityInYear Context triple: [French Crown, lostAuthorityInYear, 1789]
-
A.
lostWith
Indicates that one entity experienced a loss or defeat in conjunction with, or as part of the same side/team as, another entity.
-
B.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
-
C.
lostRecognitionTo
Indicates that one entity no longer holds a title, status, or recognition because it has been transferred or conceded to another entity.
-
D.
lost
Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
-
E.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0caa0988190872fc7648e64571f |
completed | March 8, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada526764881908e4bd52938d5374d |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.