Triple
T14135547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenchurch Street railway station |
E350283
|
entity |
| Predicate | hasAdjacentBusServices |
P15095
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fenchurch Street railway station, hasAdjacentBusServices, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentBusServices Context triple: [Fenchurch Street railway station, hasAdjacentBusServices, true]
-
A.
hasAdjacentBusStation
chosen
Indicates that one location has a bus station situated directly next to or very near it.
-
B.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
C.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
-
D.
hasNightBusService
Indicates that a transportation route or stop is served by buses operating during nighttime hours.
-
E.
operatesCommuterServiceBetween
Indicates that an entity runs a commuter transportation service connecting two specified locations.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:13 a.m.