Triple
T29565275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publius Quinctilius Varus |
E753145
|
entity |
| Predicate | killedInMilitaryConflict |
P82207
|
FINISHED |
| Object | Battle of the Teutoburg Forest |
—
|
NE NERFINISHED |
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: Battle of the Teutoburg Forest | Statement: [Publius Quinctilius Varus, killedInMilitaryConflict, Battle of the Teutoburg Forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedInMilitaryConflict Context triple: [Publius Quinctilius Varus, killedInMilitaryConflict, Battle of the Teutoburg Forest]
-
A.
diedInConflict
chosen
Indicates that an entity lost their life as a direct result of a specific conflict or war.
-
B.
diedInConflictWith
Indicates that an entity lost their life as a direct result of a specific conflict involving another entity.
-
C.
militaryDeaths
Indicates the number of individuals who died while serving in a military capacity, typically during armed conflict or related operations.
-
D.
conflictOfDeath
Indicates a relationship where a death occurs as a result of, or in the context of, an armed conflict or war.
-
E.
killedInAttack
Indicates that an entity died as a direct result of a specific attack event.
- F. None of above.
Provenance (3 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d2061c88190b433ce83fa06d41b |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:51 p.m.