Triple
T35504021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holland, Pennsylvania |
E1026091
|
entity |
| Predicate | historicalRailService |
P19012
|
FINISHED |
| Object | Newtown Branch (former SEPTA rail line) |
—
|
NE NERFINISHED |
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: Newtown Branch (former SEPTA rail line) | Statement: [Holland, Pennsylvania, historicalRailService, Newtown Branch (former SEPTA rail line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRailService Context triple: [Holland, Pennsylvania, historicalRailService, Newtown Branch (former SEPTA rail line)]
-
A.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
B.
servedByRailroad
Indicates that a location or facility is provided with transportation or service by a railroad line or company.
-
C.
isRailServiceOf
Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
-
D.
servedRailroadsIn
Indicates that an individual or entity provided service or worked in an official capacity for one or more specified railroad companies.
-
E.
hasRailroadHistoryWith
chosen
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00b34364448190b8c9948d5a24d845 |
completed | May 10, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_6a00b2e4f13c819081bac7d763c414ad |
completed | May 10, 2026, 4:31 p.m. |
Created at: May 3, 2026, 4:04 p.m.