Triple
T34278567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korengal Valley |
E879528
|
entity |
| Predicate | U.S.ForcesWithdrawal |
P105867
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Korengal Valley, U.S.ForcesWithdrawal, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S.ForcesWithdrawal Context triple: [Korengal Valley, U.S.ForcesWithdrawal, 2010]
-
A.
RussianWithdrawal
Indicates the action or process of Russian forces or presence pulling back, retreating, or removing themselves from a location or situation.
-
B.
frenchTroopsEvacuated
Indicates that French military forces withdrew or were removed from a particular location or situation.
-
C.
objectiveOfUSForces
Indicates that a specified goal, target, or mission serves as an objective assigned to or pursued by U.S. military forces.
-
D.
belligerentSideLeavingWar
Indicates that a party involved in an armed conflict ceases participation and withdraws from the war.
-
E.
AmericanForcesEvacuated
chosen
Indicates that American military forces withdrew or were removed from a particular location or situation.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.