Triple
T36714373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Asia strategy of the United States |
E906875
|
entity |
| Predicate | evolvedAfterEvent |
P149352
|
FINISHED |
| Object | September 11 attacks |
—
|
NE NERFINISHED |
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: September 11 attacks | Statement: [Central Asia strategy of the United States, evolvedAfterEvent, September 11 attacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evolvedAfterEvent Context triple: [Central Asia strategy of the United States, evolvedAfterEvent, September 11 attacks]
-
A.
evolvedOver
Indicates that one entity has changed or developed into another entity across a span of time.
-
B.
evolvedSince
chosen
Indicates that one entity has undergone evolutionary change starting from, or after, a reference point defined by another entity or time.
-
C.
evolvedWith
Indicates that two or more entities have undergone evolutionary change in mutual influence or parallel over time.
-
D.
evolvedUnder
Indicates that one entity developed or changed over time while being influenced or shaped by specific conditions, factors, or an environment represented by the other entity.
-
E.
evolutionaryEvent
Indicates an evolutionary change or transition that occurs in a lineage, such as the emergence, modification, or loss of biological traits or taxa over time.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c81880488190b38bf885d2458ad4 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.