Triple
T8400516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guiney Station |
E198156
|
entity |
| Predicate | railFunction |
P57688
|
FINISHED |
| Object | stop for passenger and freight trains during the 19th century |
—
|
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: stop for passenger and freight trains during the 19th century | Statement: [Guiney Station, railFunction, stop for passenger and freight trains during the 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railFunction Context triple: [Guiney Station, railFunction, stop for passenger and freight trains during the 19th century]
-
A.
railInterface
Indicates a connection or interaction between entities via a rail-based system or interface.
-
B.
railComponent
Indicates a relationship where one entity is a structural or functional part of a rail or railway system component of another entity.
-
C.
trainOperation
Indicates that an entity is engaged in operating, running, or managing the movement and service of a train.
-
D.
railwayAccess
chosen
Indicates that an entity has direct access to, connection with, or service by a railway line or station.
-
E.
railTracks
Indicates that one entity consists of, includes, or is associated with rail tracks used for guiding trains or rail vehicles.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824bfcbc8190b26bfcb5f8c4777c |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.