Triple
T23796942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Embassy in Beirut |
E588565
|
entity |
| Predicate | attackIncludedLebaneseCitizensKilled |
P153592
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [United States Embassy in Beirut, attackIncludedLebaneseCitizensKilled, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attackIncludedLebaneseCitizensKilled Context triple: [United States Embassy in Beirut, attackIncludedLebaneseCitizensKilled, true]
-
A.
deathInTerroristAttack
Indicates that an entity died as a direct result of a terrorist attack.
-
B.
statusInLebanon
Indicates the legal, social, or residency status an entity holds within the context of Lebanon.
-
C.
Ma'alotMassacreType
Indicates that the subject is classified as a type or instance of the Ma'alot massacre event.
-
D.
expelledFromLebanonIn
Indicates that an entity was expelled from Lebanon in a specified year or time period.
-
E.
casualtiesCiviliansKilled
Indicates that the relationship records the number of civilian deaths resulting from a specific event or action.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6ddc2d88190b6124d9fb2695d24 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:50 p.m.