Triple
T33832894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wausau Metropolitan Statistical Area |
E867152
|
entity |
| Predicate | socialRegionFor |
P184417
|
FINISHED |
| Object | central Wisconsin communities around Wausau |
—
|
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: central Wisconsin communities around Wausau | Statement: [Wausau Metropolitan Statistical Area, socialRegionFor, central Wisconsin communities around Wausau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialRegionFor Context triple: [Wausau Metropolitan Statistical Area, socialRegionFor, central Wisconsin communities around Wausau]
-
A.
exportRegion
Indicates the region or geographic area from which goods, services, or resources are exported.
-
B.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
C.
governmentRegionFor
Indicates that a government entity has jurisdiction over or is associated with a specific geographic region.
-
D.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
E.
campaignRegion
Indicates the geographic area or territory in which a campaign is conducted or targeted.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 1, 2026, 1:46 a.m.