Triple
T344768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peterloo Memorial in Manchester |
E6914
|
entity |
| Predicate | memorializesNumberOfVictims |
P4086
|
FINISHED |
| Object | approximately 18 killed |
—
|
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: approximately 18 killed | Statement: [Peterloo Memorial in Manchester, memorializesNumberOfVictims, approximately 18 killed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorializesNumberOfVictims Context triple: [Peterloo Memorial in Manchester, memorializesNumberOfVictims, approximately 18 killed]
-
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.
numberOfJewsKilled
Indicates the quantity of Jewish people who were killed in a given event, context, or time period.
-
C.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
D.
numberOfCommemoratedPersons
chosen
Indicates the count of distinct persons who are commemorated or honored in a given context or entity.
-
E.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb01261c81909280128b5ce75eff |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e9530c98819085025efe4e04aa7e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.