Triple
T28020615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gowanus Canal |
E707675
|
entity |
| Predicate | primaryPollutants |
P45470
|
FINISHED |
| Object | coal tar |
—
|
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: coal tar | Statement: [Gowanus Canal, primaryPollutants, coal tar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPollutants Context triple: [Gowanus Canal, primaryPollutants, coal tar]
-
A.
pollutant
chosen
Indicates that one entity is a substance or factor that contaminates or degrades the quality of 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.
pollutantsCovered
Indicates that certain pollutants are included within the scope, protection, regulation, or consideration defined by a particular entity, policy, or agreement.
-
D.
pollutionSource
Indicates that one entity is the origin or cause of pollution affecting another entity or environment.
-
E.
treatsPollutant
Indicates that an entity performs an action or process to remove, neutralize, or reduce the harmful effects of a pollutant.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
Created at: April 27, 2026, 8:09 p.m.