Triple
T13084504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Thompson River |
E310294
|
entity |
| Predicate | floodDeathToll |
P1785
|
FINISHED |
| Object | over 140 people in 1976 flood |
—
|
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: over 140 people in 1976 flood | Statement: [Big Thompson River, floodDeathToll, over 140 people in 1976 flood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodDeathToll Context triple: [Big Thompson River, floodDeathToll, over 140 people in 1976 flood]
-
A.
deathToll
chosen
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
B.
deathTollEstimate
Indicates an estimated number of deaths attributed to a particular event, cause, or period.
-
C.
floodConsequence
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
D.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
E.
floodCause
Indicates that one entity is the cause or source of a flood affecting another entity or area.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:02 p.m.