Triple
T31019065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkeley Pit |
E790403
|
entity |
| Predicate | floodingBegan |
P106726
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [Berkeley Pit, floodingBegan, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodingBegan Context triple: [Berkeley Pit, floodingBegan, 1982]
-
A.
formedByFlooding
Indicates that something came into existence or was created as a result of flooding.
-
B.
floodedFor
Indicates that one entity is intentionally inundated or submerged with water (or another liquid) for the benefit, use, or purpose of another entity.
-
C.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
D.
submergenceBegan
chosen
Indicates that the process of becoming submerged (typically in a fluid such as water) has started for the subject.
-
E.
floodStage
Indicates that a water body’s level has reached or exceeded the defined height at which flooding is expected to begin or become hazardous.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:58 p.m.