Triple
T22155207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | railway line Zwolle–Almelo |
E547516
|
entity |
| Predicate | servesTownOrCommunity |
P104901
|
FINISHED |
| Object | towns in Salland 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: towns in Salland area | Statement: [railway line Zwolle–Almelo, servesTownOrCommunity, towns in Salland area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTownOrCommunity Context triple: [railway line Zwolle–Almelo, servesTownOrCommunity, towns in Salland area]
-
A.
servesTownship
Indicates that an entity provides official services or administrative functions to a particular township.
-
B.
servesNearbyCommunities
Indicates that an entity provides services or support to communities located in its surrounding area.
-
C.
townServed
chosen
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
-
D.
servesCommunityFunction
Indicates that something performs a role or provides a service that benefits or supports a community as a whole.
-
E.
servesCountyTown
Indicates that an entity (such as a service, office, or facility) provides coverage or service to a specified county or town.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f7d034819092ecf9682e549c9a |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.