Triple
T27404642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laneshaw Bridge |
E691958
|
entity |
| Predicate | transportNearbyTown |
P3883
|
FINISHED |
| Object | Colne |
—
|
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: Colne | Statement: [Laneshaw Bridge, transportNearbyTown, Colne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportNearbyTown Context triple: [Laneshaw Bridge, transportNearbyTown, Colne]
-
A.
transportHubCity
Indicates that a city functions as a central node or hub for transportation networks or services.
-
B.
transportationNearby
Indicates that there is a transportation facility or service located close to the referenced entity.
-
C.
hasNearbyTown
chosen
Indicates that one location has a town situated close to it in geographic proximity.
-
D.
nearInternationalTransportHub
Indicates that one entity is located close to a major international transportation hub, such as an airport, seaport, or central rail terminal.
-
E.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 12:30 p.m.