Triple
T35978504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maspeth Creek |
E1040489
|
entity |
| Predicate | pollutantSource |
P48801
|
FINISHED |
| Object | industrial facilities along Newtown Creek |
—
|
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: industrial facilities along Newtown Creek | Statement: [Maspeth Creek, pollutantSource, industrial facilities along Newtown Creek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pollutantSource Context triple: [Maspeth Creek, pollutantSource, industrial facilities along Newtown Creek]
-
A.
pollutionSource
chosen
Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
-
B.
targetPollutant
Indicates that something is the specific pollutant that is being aimed at, affected, or addressed by an action, process, or regulation.
-
C.
pollutant
Indicates that one entity is a substance or factor that contaminates or degrades the quality of another entity or environment.
-
D.
wastewaterSource
Indicates that one entity serves as the origin or producer of wastewater that is associated with another entity.
-
E.
airMassSource
Indicates the origin region or source from which an air mass primarily forms or is derived.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.