Triple
T30161218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoria (central area) |
E766671
|
entity |
| Predicate | hasCoachStation |
P203014
|
FINISHED |
| Object | Victoria Coach Station |
—
|
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: Victoria Coach Station | Statement: [Victoria (central area), hasCoachStation, Victoria Coach Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachStation Context triple: [Victoria (central area), hasCoachStation, Victoria Coach Station]
-
A.
hasBusType
Indicates that one entity (typically a bus or bus service) is associated with or classified by a specific type or category of bus.
-
B.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
-
C.
hasCabType
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
D.
hasCarClass
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
E.
hasLimitedPassengerCapacity
Indicates that an entity’s ability to carry passengers is restricted to a maximum number or range.
- F. None of above. chosen
Provenance (4 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00dc330b148190aaae2ac6a5327960 |
completed | May 10, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_6a00d9d2904881909dafbfe7b9e5ad81 |
completed | May 10, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_6a00dc3268248190a723e1b7b29f9cda |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 29, 2026, 7:21 p.m.