Triple
T19242098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittston |
E481156
|
entity |
| Predicate | hasNearbyRiverConfluence |
P11843
|
FINISHED |
| Object | confluence of the Susquehanna and Lackawanna Rivers |
—
|
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: confluence of the Susquehanna and Lackawanna Rivers | Statement: [Pittston, hasNearbyRiverConfluence, confluence of the Susquehanna and Lackawanna Rivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyRiverConfluence Context triple: [Pittston, hasNearbyRiverConfluence, confluence of the Susquehanna and Lackawanna Rivers]
-
A.
hasNearbyRiverStructure
Indicates that a river-related structure (such as a dam, bridge, or levee) is located close to the referenced entity.
-
B.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
-
C.
riverConfluence
chosen
Indicates the location or relationship where two or more rivers or streams join and merge into a single watercourse.
-
D.
locatedInRiverArea
Indicates that one entity is situated within the geographic area occupied by, adjacent to, or directly associated with a particular river.
-
E.
hasSettlementOnRiver
Indicates that a settlement is located on or directly adjacent to a specific river.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf2353c819094a9a1af3a858715 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.