Triple
T10520216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockwood, Michigan |
E248145
|
entity |
| Predicate | demographicsMajorRace2000 |
P62280
|
FINISHED |
| Object | White |
—
|
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: White | Statement: [Rockwood, Michigan, demographicsMajorRace2000, White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicsMajorRace2000 Context triple: [Rockwood, Michigan, demographicsMajorRace2000, White]
-
A.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
B.
racialComposition
chosen
Indicates the proportional makeup of different racial groups within a given population or entity.
-
C.
shareMinorityPopulations
Indicates that two entities have overlapping or similar minority population groups in terms of presence, composition, or distribution.
-
D.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
E.
minorityMajority
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509de0b3081909bec337aa8ff193e |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:28 p.m.