Triple
T30923437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siegfried II of Westerburg |
E787789
|
entity |
| Predicate | sideInBattleOfWorringen |
P170301
|
FINISHED |
| Object | allied with the Duke of Brabant’s opponents |
—
|
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: allied with the Duke of Brabant’s opponents | Statement: [Siegfried II of Westerburg, sideInBattleOfWorringen, allied with the Duke of Brabant’s opponents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideInBattleOfWorringen Context triple: [Siegfried II of Westerburg, sideInBattleOfWorringen, allied with the Duke of Brabant’s opponents]
-
A.
sideInSiegeOfLille
Indicates that an entity participated as a side or belligerent in the Siege of Lille.
-
B.
opponentInBattleOfLechfeld
Indicates that two entities were opposing sides against each other in the Battle of Lechfeld.
-
C.
sideInBattleOfPavia
Indicates that an entity participated as a side (e.g., faction, army, or coalition) in the Battle of Pavia.
-
D.
roleInWarsOfTheRoses
Indicates the specific part or function an entity played in the historical conflict known as the Wars of the Roses.
-
E.
sideInBattleOfCeresole
Indicates that an entity participated as a side or belligerent in the Battle of Ceresole.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692b76a588190bde7401df721f418 |
completed | May 3, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:51 p.m.