Triple
T26475376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Villa, Illinois |
E666014
|
entity |
| Predicate | neighboringTownship |
P165353
|
FINISHED |
| Object | Lake Villa Township, Illinois |
—
|
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: Lake Villa Township, Illinois | Statement: [Lake Villa, Illinois, neighboringTownship, Lake Villa Township, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringTownship Context triple: [Lake Villa, Illinois, neighboringTownship, Lake Villa Township, Illinois]
-
A.
neighbouringMunicipality
Indicates that one municipality directly borders and is adjacent to another municipality.
-
B.
neighboringBarangay
Indicates that two barangays are directly adjacent to each other, sharing a common boundary or border.
-
C.
neighboringRegion
Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
-
D.
neighboringTo
Indicates that one entity is located directly adjacent or very close to another entity, sharing a common boundary or immediate vicinity.
-
E.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
- F. None of above. chosen
Provenance (4 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f658a91ba0819084fbe3dd8a09f7cd |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f657f2c8b08190bfeb3173ef78207d |
completed | May 2, 2026, 8 p.m. |
Created at: April 27, 2026, 12:22 a.m.