Triple
T20259085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derwent (submerged village) |
E498781
|
entity |
| Predicate | reasonForFlooding |
P139429
|
FINISHED |
| Object | construction of a water supply reservoir |
—
|
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: construction of a water supply reservoir | Statement: [Derwent (submerged village), reasonForFlooding, construction of a water supply reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForFlooding Context triple: [Derwent (submerged village), reasonForFlooding, construction of a water supply reservoir]
-
A.
hasFloodHistory
Indicates that the subject has experienced one or more flood events in the past.
-
B.
reasonForBan
Indicates the justification or cause that led to an entity being banned.
-
C.
reasonForRaid
Indicates the underlying cause, motive, or justification for which a raid was initiated or carried out.
-
D.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
E.
reasonForIncreasedFrequency
Indicates the cause or explanation for why the occurrence of something has become more frequent.
- F. None of above. chosen
Provenance (4 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674c84e848190a6e8956698b84026 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.