Triple
T3162323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis the Pious |
E66128
|
entity |
| Predicate | reignAsKingOfAquitaineEnd |
P46437
|
FINISHED |
| Object | 814 |
—
|
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: 814 | Statement: [Louis the Pious, reignAsKingOfAquitaineEnd, 814]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsKingOfAquitaineEnd Context triple: [Louis the Pious, reignAsKingOfAquitaineEnd, 814]
-
A.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King of France comes to an end.
-
B.
reignAsKingOfSicilyEnd
Indicates the point in time or event at which an individual's reign as king of Sicily comes to an end.
-
C.
reignAsDauphinTo
Indicates that one person holds and exercises the title and role of Dauphin (heir apparent to the French throne) in relation to a specific monarch or royal line.
-
D.
reignAsKingOfFranceStart
Indicates the time point or event at which an individual begins their tenure as the reigning king of France.
-
E.
reignAsQueenOfFranceEnd
Indicates the time or event at which an individual’s tenure as Queen of France 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada618b9b88190afaa6d47dcad9f2c |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.