Triple
T36576652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hani Hanjour |
E902272
|
entity |
| Predicate | numberOfPeopleKilledAtPentagon |
—
|
GENERATED |
| Object | 125 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleKilledAtPentagon Context triple: [Hani Hanjour, numberOfPeopleKilledAtPentagon, 125]
-
A.
numberOfHostagesKilled
Indicates the number of hostages who were killed in the context of a specific event or situation.
-
B.
numberOfPeopleKilledInBombing
Indicates the total count of people who were killed as a direct result of a specific bombing event.
-
C.
numberOfPeopleReportedKilled
Indicates the reported count of people who have been killed in an incident or event.
-
D.
numberOfVictimsKilled
Indicates the count of victims who were killed as a result of the referenced event or action.
-
E.
numberOfPeopleKilledOnGround
Indicates the count of people who were killed on the ground as a result of the event or incident.
- F. None of above. chosen
Provenance (1 batch)
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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.