Triple
T26949538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venserpolder |
E678741
|
entity |
| Predicate | hasMetroFunction |
P8346
|
FINISHED |
| Object | metro terminus 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: metro terminus area | Statement: [Venserpolder, hasMetroFunction, metro terminus area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetroFunction Context triple: [Venserpolder, hasMetroFunction, metro terminus area]
-
A.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
B.
hasUrbanFunction
chosen
Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
-
C.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
D.
isMetropolitanFor
Indicates that one entity serves as the primary metropolitan center or urban hub for another entity (such as a region, area, or service).
-
E.
hasMetropolitanConnectionWith
Indicates that there is a significant relationship or linkage between two entities based on shared or interacting metropolitan areas, such as through infrastructure, services, or regional integration.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 27, 2026, 6:23 a.m.