Triple
T38217809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Operation New Dawn |
E1010731
|
entity |
| Predicate | troopLevel |
P190304
|
FINISHED |
| Object | approximately 50,000 U.S. troops at start |
—
|
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: approximately 50,000 U.S. troops at start | Statement: [U.S. Operation New Dawn, troopLevel, approximately 50,000 U.S. troops at start]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: troopLevel Context triple: [U.S. Operation New Dawn, troopLevel, approximately 50,000 U.S. troops at start]
-
A.
troopLevelAfter
Indicates the number or status of troops present after a specified event, action, or point in time.
-
B.
troopLevelBefore
Indicates the quantity or status of troops that existed prior to a specified event, time, or change.
-
C.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
D.
troopAccess
Indicates that one party is permitted to move, station, or operate military troops within the territory, facilities, or jurisdiction of another party.
-
E.
militaryFormationLevel
Indicates the hierarchical level or scale of a military formation within an armed forces organizational structure.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:30 p.m.