Triple
T21833299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محمد علي باشا |
E539054
|
entity |
| Predicate | تاريخ_مذبحة_القلعة |
P145489
|
FINISHED |
| Object | 1811 |
—
|
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: 1811 | Statement: [محمد علي باشا, تاريخ_مذبحة_القلعة, 1811]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ_مذبحة_القلعة Context triple: [محمد علي باشا, تاريخ_مذبحة_القلعة, 1811]
-
A.
massacreAlsoKnownAs
Indicates that a particular massacre is known or referred to by an alternative name or names.
-
B.
numberOfPrisonersKilledDuringSeptemberMassacres
Indicates the count of prisoners who were killed during the September Massacres.
-
C.
massacreOccurred
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
-
D.
dateOfDefenestration
Indicates the specific date on which an entity was thrown out of a window (defenestrated).
-
E.
notableMassKillingSite
Indicates that a place is recognized as a significant location where a mass killing or massacre occurred.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a5eeb88190b58b5b6d363cd6e3 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.