Triple
T19439828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limehouse |
E486317
|
entity |
| Predicate | hasNearbyWatercourse |
P8567
|
FINISHED |
| Object | Black Creek |
—
|
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: Black Creek | Statement: [Limehouse, hasNearbyWatercourse, Black Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Creek Context triple: [Limehouse, hasNearbyWatercourse, Black Creek]
-
A.
Black Creek
Black Creek is a waterway in northeastern Florida that feeds into the St. Johns River and is known for its dark, tannin-rich waters and surrounding wetlands.
-
B.
Black Creek
Black Creek is a smaller stream in New York State that serves as a right-bank tributary feeding into West Canada Creek.
-
C.
Black Creek
Black Creek is a waterway in northeastern South Carolina that flows near the city of Hartsville.
-
D.
Black Creek
chosen
Black Creek is a tributary stream in the Greater Toronto Area that flows through urban and parkland environments before joining the Humber River.
-
E.
Black Creek
Black Creek is a stream in Alabama best known for flowing through Noccalula Falls Park and plunging over the scenic Noccalula Falls.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633637ea48190bfa36b0b0a2762bc |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.