Triple
T9871520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles the Fat |
E239966
|
entity |
| Predicate | reignEndAsKingOfWestFrancia |
P90981
|
FINISHED |
| Object | 888 |
—
|
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: 888 | Statement: [Charles the Fat, reignEndAsKingOfWestFrancia, 888]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignEndAsKingOfWestFrancia Context triple: [Charles the Fat, reignEndAsKingOfWestFrancia, 888]
-
A.
reignEndAsKingOfEastFrancia
Indicates the time or event at which an individual’s rule as king over East Francia comes to an end.
-
B.
reignAsKingOfTheFranksEnd
Indicates the point in time or event at which an entity’s reign as king of the Franks comes to an end.
-
C.
successorAsKingOfWestFrancia
Indicates that one person became the next king of West Francia after another person, directly following them in that royal succession.
-
D.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
-
E.
reignAsKingOfAquitaineEnd
Indicates the time or event at which an individual’s reign as king of Aquitaine comes to an end.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3f5cc948190b03186b867c92229 |
completed | April 2, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:36 p.m.