Triple
T35582966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin charter schools |
E1028269
|
entity |
| Predicate | notableCityWithHighConcentration |
P34971
|
FINISHED |
| Object | Milwaukee |
E10031
|
NE 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: Milwaukee | Statement: [Wisconsin charter schools, notableCityWithHighConcentration, Milwaukee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCityWithHighConcentration Context triple: [Wisconsin charter schools, notableCityWithHighConcentration, Milwaukee]
-
A.
notablePopulationCenter
Indicates that a location is recognized as a significant or prominent center of population within a given area or context.
-
B.
concentratedInCity
chosen
Indicates that a large proportion or primary presence of something is located within a particular city.
-
C.
isHighlyUrbanizedCityOf
Indicates that a city is characterized by a high degree of urban development and population density within the specified larger region or jurisdiction.
-
D.
majorUrbanCenterIn
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
E.
largestUrbanConcentrationIn
Indicates that an entity represents the biggest or most populous urban area located within a specified geographic region.
- F. None of above.
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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3852ddd7c8819084295cf79c9a6547 |
completed | June 21, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.