Triple
T25009918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TWB |
E625952
|
entity |
| Predicate | servesTownOrArea |
P104901
|
FINISHED |
| Object | Tweedbank |
—
|
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: Tweedbank | Statement: [TWB, servesTownOrArea, Tweedbank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTownOrArea Context triple: [TWB, servesTownOrArea, Tweedbank]
-
A.
servesTownship
Indicates that an entity provides official services or administrative functions to a particular township.
-
B.
townServed
chosen
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
-
C.
servesCountyTown
Indicates that an entity (such as a service, office, or facility) provides coverage or service to a specified county or town.
-
D.
servesRemoteArea
Indicates that an entity provides services or support to people or locations in geographically remote or hard-to-reach areas.
-
E.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
- 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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 18, 2026, 6:05 a.m.