Triple
T22639806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewing, Missouri |
E558790
|
entity |
| Predicate | medianAgeCensus2010 |
P149034
|
FINISHED |
| Object | 36.8 years |
—
|
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: 36.8 years | Statement: [Ewing, Missouri, medianAgeCensus2010, 36.8 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medianAgeCensus2010 Context triple: [Ewing, Missouri, medianAgeCensus2010, 36.8 years]
-
A.
populationTotal2010
Indicates the total number of individuals in a population as measured or recorded for the year 2010.
-
B.
medianAgeHigherThan
Indicates that the median age of one group, population, or set is greater than the median age of another.
-
C.
rankInUS2010Census
Indicates the numerical position of an entity in the ranking of occurrences within the 2010 United States Census.
-
D.
medianHouseholdIncome
Indicates the typical (middle) value of income earned by households in a given area, such that half of households earn more and half earn less.
-
E.
populationAge
Indicates the age or age distribution of a population associated with an entity.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17010aa4c8190a9f0cf7eb4c066cd |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:04 p.m.