Triple
T1951550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Airlines Flight 11 |
E42168
|
entity |
| Predicate | impactTimeUTC |
P1936
|
FINISHED |
| Object | 2001-09-11T12:46:30Z |
—
|
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: 2001-09-11T12:46:30Z | Statement: [American Airlines Flight 11, impactTimeUTC, 2001-09-11T12:46:30Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactTimeUTC Context triple: [American Airlines Flight 11, impactTimeUTC, 2001-09-11T12:46:30Z]
-
A.
inceptionTime
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
B.
attackDate
Indicates the calendar date on which an attack or assault event took place.
-
C.
deploymentTime
Indicates the point in time at which something is deployed, initiated, or put into operation.
-
D.
time
chosen
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
E.
escalationDate
Indicates the date on which an issue, case, or situation was formally escalated to a higher level of attention or authority.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb34eb5748190a3ac395252951eba |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.