Triple
T37393836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Ellicott City flood |
E928792
|
entity |
| Predicate | riverOrStreamInvolved |
P75568
|
FINISHED |
| Object | Tiber River (Ellicott City) |
—
|
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: Tiber River (Ellicott City) | Statement: [2016 Ellicott City flood, riverOrStreamInvolved, Tiber River (Ellicott City)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverOrStreamInvolved Context triple: [2016 Ellicott City flood, riverOrStreamInvolved, Tiber River (Ellicott City)]
-
A.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
B.
hasRiverActivity
Indicates that an entity engages in, supports, or is associated with activities occurring on or along a river.
-
C.
flowsIntoBodyOfWaterAt
Indicates that one body of water moves or drains into another body of water at a specific location or point.
-
D.
riverPhenomenon
Indicates a natural event, condition, or process that occurs in or directly affects a river.
-
E.
riverConcerned
chosen
Indicates a relationship in which a river is the primary focus or subject of concern, attention, or impact in a given context.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.