Triple
T24361277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntington, Virginia |
E614065
|
entity |
| Predicate | hasFloodRiskAreas |
P155918
|
FINISHED |
| Object | Huntington neighborhood near Cameron Run |
—
|
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: Huntington neighborhood near Cameron Run | Statement: [Huntington, Virginia, hasFloodRiskAreas, Huntington neighborhood near Cameron Run]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloodRiskAreas Context triple: [Huntington, Virginia, hasFloodRiskAreas, Huntington neighborhood near Cameron Run]
-
A.
hasFloodRisk
Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
-
B.
hasFloodRiskRelevance
Indicates that something is pertinent to, affects, or is used in assessing the risk or likelihood of flooding.
-
C.
hasFloodplains
Indicates that an area or region includes land that is subject to flooding, typically adjacent to a river or water body.
-
D.
hasFloodplain
Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
-
E.
floodRiskCategory
Indicates the level or classification of flood risk associated with an entity, such as a location or asset.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29384a2f88190885eb141c5c44a2d |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2 a.m.