Triple
T352028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Chastise |
E7462
|
entity |
| Predicate | typeOfTarget |
P9903
|
FINISHED |
| Object | hydroelectric dams |
—
|
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: hydroelectric dams | Statement: [Operation Chastise, typeOfTarget, hydroelectric dams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTarget Context triple: [Operation Chastise, typeOfTarget, hydroelectric dams]
-
A.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
B.
primaryTargetType
chosen
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
C.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
D.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
E.
testType
Indicates the specific category or kind of test associated with an entity or 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7f1be88190964ddcbb6a05f021 |
completed | Feb. 28, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69a2e9571bd88190b6fcb16f21604720 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.