Triple
T27693392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berry’s Creek |
E698217
|
entity |
| Predicate | mouthLocatedInOrNextTo |
P18935
|
FINISHED |
| Object | East Rutherford, New Jersey |
—
|
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: East Rutherford, New Jersey | Statement: [Berry’s Creek, mouthLocatedInOrNextTo, East Rutherford, New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mouthLocatedInOrNextTo Context triple: [Berry’s Creek, mouthLocatedInOrNextTo, East Rutherford, New Jersey]
-
A.
mouthOf
Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
-
B.
mouthNear
chosen
Indicates that one entity’s mouth is positioned close to another entity or object in space.
-
C.
mouthLocatedInAdministrativeEntity
Indicates that the place where a river ends (its mouth) is situated within a specific administrative region or jurisdiction.
-
D.
mouth
Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
-
E.
containsMouthOf
Indicates that one entity geographically includes or encompasses the mouth (outflow point) of another entity, such as a river or stream.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 2:52 p.m.