Triple
T2341588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tours |
E45037
|
entity |
| Predicate | commandingTitleOfCharlesMartel |
P38850
|
FINISHED |
| Object | Mayor of the Palace of Austrasia |
—
|
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: Mayor of the Palace of Austrasia | Statement: [Battle of Tours, commandingTitleOfCharlesMartel, Mayor of the Palace of Austrasia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandingTitleOfCharlesMartel Context triple: [Battle of Tours, commandingTitleOfCharlesMartel, Mayor of the Palace of Austrasia]
-
A.
FrenchCommander
Indicates that an entity serves as a military commander associated with France.
-
B.
predecessorAsKingOfEastFrancia
Indicates that one person previously held the position of King of East Francia immediately before another person.
-
C.
crownedHolyRomanEmperor
Indicates that a person has been formally invested with the title and authority of Holy Roman Emperor through a coronation ceremony.
-
D.
electedKingOfTheRomans
Indicates that a person has been chosen through an election to hold the title and role of King of the Romans.
-
E.
emperorTitle
Indicates that one entity holds the title or rank of emperor in relation to another entity.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcadd2a0c8190b6973d390e98bd66 |
completed | March 7, 2026, 6:51 a.m. |
Created at: March 4, 2026, 7:52 p.m.