Triple
T15585763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charleville |
E374615
|
entity |
| Predicate | hasFloodMitigation |
P25010
|
FINISHED |
| Object | levee banks |
—
|
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: levee banks | Statement: [Charleville, hasFloodMitigation, levee banks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodMitigation Context triple: [Charleville, hasFloodMitigation, levee banks]
-
A.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
B.
providesFloodControlFor
Indicates that one entity offers protection or mitigation against flooding for another entity or area.
-
C.
hasFloodControlStructure
chosen
Indicates that an entity possesses or is equipped with a structure designed to manage, control, or mitigate flooding.
-
D.
hasFloodProtectionInfrastructure
Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
-
E.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.