Triple
T17368768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkadi Monastery |
E422252
|
entity |
| Predicate | sacrificialExplosion |
P107659
|
FINISHED |
| Object | monks and civilians blew up gunpowder to avoid capture in 1866 |
—
|
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: monks and civilians blew up gunpowder to avoid capture in 1866 | Statement: [Arkadi Monastery, sacrificialExplosion, monks and civilians blew up gunpowder to avoid capture in 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacrificialExplosion Context triple: [Arkadi Monastery, sacrificialExplosion, monks and civilians blew up gunpowder to avoid capture in 1866]
-
A.
explosionType
Indicates the specific kind or category of explosion associated with an event or entity.
-
B.
explosionOccurred
chosen
Indicates that an explosion event has taken place at a specific time and/or location.
-
C.
detonatedOver
Indicates that one entity caused an explosion or detonation to occur above or over another entity or location.
-
D.
bombDamage
Indicates that one entity has caused damage to another entity through the use or effects of a bomb.
-
E.
sacrificedTo
Indicates that one entity is offered or given up as a sacrifice in honor of, or to appease, another entity.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6790448190a24047523a019f81 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.