Triple
T592549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leatherhead |
E17307
|
entity |
| Predicate | isCommuterHubFor |
P13163
|
FINISHED |
| Object | London area |
—
|
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: London area | Statement: [Leatherhead, isCommuterHubFor, London area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommuterHubFor Context triple: [Leatherhead, isCommuterHubFor, London area]
-
A.
isCommuterRegionFor
chosen
Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
-
B.
hasTransportHub
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
-
C.
isResidentialHubIn
Indicates that a location functions primarily as a residential center or hub within a specified larger area or region.
-
D.
hasCommuterOrientation
Indicates that an entity is designed or intended primarily for use by commuters, emphasizing suitability for regular travel between home and work or study.
-
E.
isRailHubFor
Indicates that a location functions as a central node or interchange point within a rail network for the referenced area, routes, or services.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbcaf5c81908de4e27096d3da13 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.