Triple
T9037174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Branch station |
E216524
|
entity |
| Predicate | hasNonElectrifiedService |
P59679
|
FINISHED |
| Object | south of Long Branch |
—
|
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: south of Long Branch | Statement: [Long Branch station, hasNonElectrifiedService, south of Long Branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonElectrifiedService Context triple: [Long Branch station, hasNonElectrifiedService, south of Long Branch]
-
A.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
B.
hasElectrificationStatus
chosen
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
-
C.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
D.
railwayTypeServed
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
-
E.
nonElectrifiedSection
Indicates that a segment of a transportation or track network lacks electrical infrastructure for powered operation.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac1f08c8190be0e37115df11f31 |
completed | April 1, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee3597c81908919cf866ae95c24 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:08 p.m.