Triple
T28797047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Benghazi (2011) |
E727111
|
entity |
| Predicate | threatenedEvent |
P126229
|
FINISHED |
| Object | potential massacre of civilians in Benghazi |
—
|
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: potential massacre of civilians in Benghazi | Statement: [Battle of Benghazi (2011), threatenedEvent, potential massacre of civilians in Benghazi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatenedEvent Context triple: [Battle of Benghazi (2011), threatenedEvent, potential massacre of civilians in Benghazi]
-
A.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
-
B.
threatenedOutcome
Indicates that one entity has communicated an intention or warning that a particular outcome or consequence may occur.
-
C.
hazardEvent
chosen
Indicates an occurrence of a dangerous or harmful event that poses a risk or threat within a given context.
-
D.
threatenedUseOf
Indicates a situation where one entity has expressed or implied an intention to use force, harm, or coercive action against another entity.
-
E.
threatToHumans
Indicates that the subject poses or represents a potential danger, harm, or risk to humans.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 6:25 a.m.