Triple
T3162322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis the Pious |
E66128
|
entity |
| Predicate | reignAsKingOfAquitaineStart |
P46436
|
FINISHED |
| Object | 781 |
—
|
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: 781 | Statement: [Louis the Pious, reignAsKingOfAquitaineStart, 781]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsKingOfAquitaineStart Context triple: [Louis the Pious, reignAsKingOfAquitaineStart, 781]
-
A.
reignAsKingOfFranceStart
Indicates the time point or event at which an individual begins their tenure as the reigning king of France.
-
B.
reignAsKingOfSicilyStart
Indicates the time at which an individual begins their reign as king over the realm of Sicily.
-
C.
reignAsKingOfSardiniaStart
Indicates the time at which an individual begins their rule as king over Sardinia.
-
D.
reignAsDauphinFrom
Indicates the period during which a person held and exercised the title and role of Dauphin, starting from a specified time.
-
E.
reignAsKingOfFranceEnd
Indicates the time or event at which an individual's reign as King 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.