Triple
T12898685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno of Egisheim-Dagsburg |
E308558
|
entity |
| Predicate | dateOfBattleOfCivitate |
P107339
|
FINISHED |
| Object | 1053-06-18 |
—
|
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: 1053-06-18 | Statement: [Bruno of Egisheim-Dagsburg, dateOfBattleOfCivitate, 1053-06-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfBattleOfCivitate Context triple: [Bruno of Egisheim-Dagsburg, dateOfBattleOfCivitate, 1053-06-18]
-
A.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
B.
yearOfFirstBattle
Indicates the specific year in which the first battle involving the given entities took place.
-
C.
battleOfBouvinesDate
Indicates the specific calendar date on which the Battle of Bouvines took place.
-
D.
dateOfCityCapture
Indicates the specific date on which a city was taken or captured, typically in a military or political context.
-
E.
yearOfBattle
Indicates the specific calendar year in which a particular battle took place.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:40 p.m.