Triple
T5005195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attu returned to U.S. control |
E112473
|
entity |
| Predicate | natureOfEvent |
P7504
|
FINISHED |
| Object | amphibious assault outcome |
—
|
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: amphibious assault outcome | Statement: [Attu returned to U.S. control, natureOfEvent, amphibious assault outcome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfEvent Context triple: [Attu returned to U.S. control, natureOfEvent, amphibious assault outcome]
-
A.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
B.
environmentalEvent
Indicates an occurrence or phenomenon related to the natural environment, such as climatic, ecological, or geophysical changes or incidents.
-
C.
eventName
Indicates the specific label or title assigned to identify an event within a system or context.
-
D.
typicalEvent
Indicates that the associated event is a common, characteristic, or prototypical occurrence for the given entity or situation.
-
E.
hasNaturalPhenomenon
Indicates that a location, region, or environment possesses or is characterized by a particular natural phenomenon (such as a weather event, geological feature, or celestial occurrence).
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.