Triple
T1951551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Airlines Flight 11 |
E42168
|
entity |
| Predicate | impactTimeLocal |
P33470
|
FINISHED |
| Object | 2001-09-11T08:46:30-04:00 |
—
|
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: 2001-09-11T08:46:30-04:00 | Statement: [American Airlines Flight 11, impactTimeLocal, 2001-09-11T08:46:30-04:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactTimeLocal Context triple: [American Airlines Flight 11, impactTimeLocal, 2001-09-11T08:46:30-04:00]
-
A.
endTimeLocal
Indicates the local date and time at which an event, activity, or state concludes.
-
B.
localTime
Indicates that a specific time value is expressed relative to a particular local time zone or locale, rather than in a universal or standardized time reference.
-
C.
inceptionTime
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
D.
injuryOccurredAt
Indicates that an injury took place at a specific location or during a particular event or time.
-
E.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
- 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_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. |
| PDg | Predicate description generation | batch_69abb1ddccbc8190bf2bd8bac673c0c5 |
completed | March 7, 2026, 5:04 a.m. |
Created at: March 4, 2026, 7:36 p.m.