Triple
T24090413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States embassy in Dar es Salaam |
E596770
|
entity |
| Predicate | attackTimeRelation |
P4137
|
FINISHED |
| Object | occurred minutes after bombing of U.S. embassy in Nairobi |
—
|
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: occurred minutes after bombing of U.S. embassy in Nairobi | Statement: [United States embassy in Dar es Salaam, attackTimeRelation, occurred minutes after bombing of U.S. embassy in Nairobi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attackTimeRelation Context triple: [United States embassy in Dar es Salaam, attackTimeRelation, occurred minutes after bombing of U.S. embassy in Nairobi]
-
A.
attackDate
Indicates the calendar date on which an attack or assault event took place.
-
B.
temporalRelation
chosen
Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
-
C.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
D.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
E.
timeCorrelation
Indicates that two events or states are related in time such that changes or occurrences in one are systematically associated with changes or occurrences in the other.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2d405881909469aa95901ab87b |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:51 p.m.