Triple
T31047199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lapua |
E791160
|
entity |
| Predicate | cartridgeFactoryExplosionDeaths |
P171327
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Lapua, cartridgeFactoryExplosionDeaths, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cartridgeFactoryExplosionDeaths Context triple: [Lapua, cartridgeFactoryExplosionDeaths, 40]
-
A.
cartridgeFactoryExplosion
Indicates an event where an explosion occurs at a cartridge-producing factory or facility.
-
B.
numberOfExplosions
Indicates the count of distinct explosion events associated with an entity or situation.
-
C.
demolitionCasualties
Indicates that an act of demolition resulted in injuries or deaths to people involved or nearby.
-
D.
numberOfBomberDeaths
Indicates the quantity of individuals who died while serving as bombers in a given context or event.
-
E.
detonatedOver
Indicates that one entity caused an explosion or detonation to occur above or over another entity or location.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 8:59 p.m.