Triple
T29348195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFN |
E744227
|
entity |
| Predicate | railStationName |
P8935
|
FINISHED |
| Object | Hertford North |
—
|
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: Hertford North | Statement: [HFN, railStationName, Hertford North]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railStationName Context triple: [HFN, railStationName, Hertford North]
-
A.
stationName
chosen
Indicates the name assigned to a particular station in the relationship.
-
B.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
C.
railTerminusFor
Indicates that one location serves as the final or terminal rail station or endpoint for a specified rail line or service.
-
D.
railTerminus
Indicates that a railway line or service ends at a particular station or location, which serves as its final terminus.
-
E.
railStationManager
Indicates that one entity manages, operates, or is responsible for the administration of a particular railway station.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669595a0881908ea97caf704fefb3 |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:04 p.m.