Triple
T29890193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hertford North |
E759129
|
entity |
| Predicate | suburbanRouteTerminus |
P159402
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hertford North, suburbanRouteTerminus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suburbanRouteTerminus Context triple: [Hertford North, suburbanRouteTerminus, yes]
-
A.
isSuburbanRouteOf
Indicates that a given route functions as a suburban segment or service line belonging to, or operating as part of, a larger primary route or network.
-
B.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
-
C.
hasSuburbanTerminus
chosen
Indicates that a transportation route or service ends at a terminus located in a suburban area.
-
D.
isSuburbanStationOf
Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central station.
-
E.
hasRoadTerminus
Indicates that one location or road segment serves as an endpoint or terminus for a particular road.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677007d808190b5b59f62e21b77cf |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:02 p.m.