Triple
T9697733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States consulate in Benghazi |
E234695
|
entity |
| Predicate | statusAfterAttack |
P90752
|
FINISHED |
| Object | closed |
—
|
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: closed | Statement: [United States consulate in Benghazi, statusAfterAttack, closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterAttack Context triple: [United States consulate in Benghazi, statusAfterAttack, closed]
-
A.
statusAfterSmaug
Indicates the resulting status or condition of an entity after an event or interaction involving Smaug has occurred.
-
B.
resultOfSecondAttack
Indicates that an event or state occurs as a consequence of a second attack in a sequence of attacks.
-
C.
stationAttacked
Indicates that an attack has been carried out against a station, targeting it with hostile or destructive actions.
-
D.
attackedFrom
Indicates that one entity initiated an attack against another entity originating from a specific source location or position.
-
E.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3c02e0819098d05c68805689f1 |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:18 p.m.