Triple
T37948096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Jefferson Branch |
E946662
|
entity |
| Predicate | hasNonElectrifiedSection |
P21804
|
FINISHED |
| Object | Huntington to Port Jefferson |
—
|
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: Huntington to Port Jefferson | Statement: [Port Jefferson Branch, hasNonElectrifiedSection, Huntington to Port Jefferson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonElectrifiedSection Context triple: [Port Jefferson Branch, hasNonElectrifiedSection, Huntington to Port Jefferson]
-
A.
nonElectrifiedSection
chosen
Indicates that a segment of a transportation or track network lacks electrical infrastructure for powered operation.
-
B.
isElectrifiedSectionOf
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
-
C.
isElectrifiedSince
Indicates that an entity has had electrical power or electrification continuously from a specified point in time onward.
-
D.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
E.
electrifiedAlongMostOfRoute
Indicates that the route is equipped with electric power infrastructure along the majority of its length, but not necessarily its entirety.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.