Triple
T36358029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnet Carré |
E895400
|
entity |
| Predicate | hasFloodControlStructureNearby |
P25048
|
FINISHED |
| Object | Bonnet Carré Spillway |
—
|
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: Bonnet Carré Spillway | Statement: [Bonnet Carré, hasFloodControlStructureNearby, Bonnet Carré Spillway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodControlStructureNearby Context triple: [Bonnet Carré, hasFloodControlStructureNearby, Bonnet Carré Spillway]
-
A.
hasFloodControlStructure
Indicates that an entity possesses or is equipped with a structure designed to manage, control, or mitigate flooding.
-
B.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
C.
hasFortificationNearby
Indicates that one entity is located in proximity to, or within the immediate area of, a fortification structure associated with it.
-
D.
hasFloodProtectionInfrastructure
chosen
Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
-
E.
isFlooded
Indicates that a location, area, or object is currently covered or overwhelmed by an abnormal amount of water.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.