Triple
T10680181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Brook Flood Control Project |
E251725
|
entity |
| Predicate | componentArea |
P15573
|
FINISHED |
| Object | Bound Brook segment |
—
|
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: Bound Brook segment | Statement: [Green Brook Flood Control Project, componentArea, Bound Brook segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentArea Context triple: [Green Brook Flood Control Project, componentArea, Bound Brook segment]
-
A.
areaComponent
chosen
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
B.
componentCC
Indicates that one entity is a component or constituent part of another entity within a coordinated or composite construction.
-
C.
component3
Indicates that one entity is the third component or sub-part within a larger composite structure or system involving another entity.
-
D.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
-
E.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc03dc4819080a6211a2bfaaf0a |
completed | April 9, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.