Triple
T6240492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauthausen concentration camp |
E139585
|
entity |
| Predicate | notableAtrocity |
P42677
|
FINISHED |
| Object | mass killings by shooting |
—
|
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: mass killings by shooting | Statement: [Mauthausen concentration camp, notableAtrocity, mass killings by shooting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAtrocity Context triple: [Mauthausen concentration camp, notableAtrocity, mass killings by shooting]
-
A.
notableVictim
Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
-
B.
notableVictims
Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
-
C.
notableViolentCase
Indicates that an entity is associated with a specific case or incident that is recognized as involving significant or noteworthy violence.
-
D.
notableMassKillingSite
chosen
Indicates that a place is recognized as a significant location where a mass killing or massacre occurred.
-
E.
significantMassacre
Indicates that a massacre event is of notable scale, impact, or historical importance relative to other such events.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063067d9c819085a18d9d03939266 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.