Triple
T17119742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FBI negotiators |
E415432
|
entity |
| Predicate | afterActionLearning |
P75930
|
FINISHED |
| Object | importance of unified command in crisis incidents |
—
|
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: importance of unified command in crisis incidents | Statement: [FBI negotiators, afterActionLearning, importance of unified command in crisis incidents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afterActionLearning Context triple: [FBI negotiators, afterActionLearning, importance of unified command in crisis incidents]
-
A.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
B.
subsequentAction
Indicates that one action occurs after another in time, following it as a later step or consequence.
-
C.
afterAD
Indicates that one event, action, or state occurs later in time than another, serving as its temporal successor.
-
D.
lessonsLearned
chosen
Indicates that certain insights, knowledge, or understanding have been gained from a prior experience, event, or process.
-
E.
aftermathOf
Indicates that one event, state, or condition occurs as a consequence or result following another event.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:36 a.m.