Triple
T12596012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chibchacum |
E300731
|
entity |
| Predicate | consequenceOfFlood |
P50010
|
FINISHED |
| Object | Bochica opening Tequendama Falls to drain the waters |
—
|
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: Bochica opening Tequendama Falls to drain the waters | Statement: [Chibchacum, consequenceOfFlood, Bochica opening Tequendama Falls to drain the waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfFlood Context triple: [Chibchacum, consequenceOfFlood, Bochica opening Tequendama Falls to drain the waters]
-
A.
floodConsequence
chosen
Indicates the resulting effects, outcomes, or impacts that occur as a consequence of a flood event.
-
B.
floodCause
Indicates that one entity is the cause or source of a flood affecting another entity or area.
-
C.
consequenceOfDestruction
Indicates that one event, state, or condition occurs as a direct result of a prior act of destruction.
-
D.
floodEvent
Indicates an occurrence of a flooding event affecting a location, time period, or set of impacted entities.
-
E.
sinkingConsequence
Indicates the outcome or effect that results from something sinking.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:08 p.m.