Triple
T7410400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingston Fossil Plant |
E170986
|
entity |
| Predicate | disasterLocation |
P76614
|
FINISHED |
| Object | coal ash storage pond |
—
|
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: coal ash storage pond | Statement: [Kingston Fossil Plant, disasterLocation, coal ash storage pond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disasterLocation Context triple: [Kingston Fossil Plant, disasterLocation, coal ash storage pond]
-
A.
disasterDepicted
Indicates that one entity visually represents or portrays a disaster involving or affecting another entity.
-
B.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
-
C.
locationDuringEarthquake
Indicates the place where an entity is situated at the time an earthquake occurs.
-
D.
notableDisasterType
Indicates the specific kind or category of disaster for which something (such as a place, event, or entity) is notable or best known.
-
E.
landfallLocation
Indicates the geographic location where a storm or similar weather system first makes landfall.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29ebea48190be96c6bc1e6406fb |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f15c36d48190bc75353d3f67555a |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 3:11 p.m.