Triple
T32576389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swift River Valley |
E832655
|
entity |
| Predicate | historicallyFloodedFor |
P138120
|
FINISHED |
| Object | Quabbin Reservoir |
—
|
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: Quabbin Reservoir | Statement: [Swift River Valley, historicallyFloodedFor, Quabbin Reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyFloodedFor Context triple: [Swift River Valley, historicallyFloodedFor, Quabbin Reservoir]
-
A.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
-
B.
floodRecord
Indicates that an entity serves as a documented record or report of a flood event affecting another entity or area.
-
C.
hasFloodRisk
Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
-
D.
deadliestFloodInCityHistory
Indicates that the referenced flood is the most lethal one ever recorded in the history of the specified city.
-
E.
floodedFor
chosen
Indicates that one entity is intentionally inundated or submerged with water (or another liquid) for the benefit, use, or purpose of another entity.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 1, 2026, 1:04 a.m.