Triple
T249877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malala Yousafzai |
E5118
|
entity |
| Predicate | assassinationAttemptLocation |
P8557
|
FINISHED |
| Object | near Mingora |
—
|
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: near Mingora | Statement: [Malala Yousafzai, assassinationAttemptLocation, near Mingora]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assassinationAttemptLocation Context triple: [Malala Yousafzai, assassinationAttemptLocation, near Mingora]
-
A.
assassinationDate
Indicates the date on which an assassination of the referenced entity occurred.
-
B.
relatedAssassination
Indicates a relationship where one entity is connected to, involved in, or associated with an assassination event concerning another entity.
-
C.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
-
D.
attemptedCoup
Indicates that an entity tried, but did not necessarily succeed, to overthrow an existing government or leadership through a coup.
-
E.
placeOfPassing
Indicates the location where an entity (typically a person) died or passed away.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d3728f0819086214ccc2db2305a |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b665f8c8190aac6fcbba2a0eebb |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.