Triple
T24059364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Anne, Maryland |
E595898
|
entity |
| Predicate | medianHouseholdIncomeCensus2000 |
P23301
|
FINISHED |
| Object | $38,750 |
—
|
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: $38,750 | Statement: [Queen Anne, Maryland, medianHouseholdIncomeCensus2000, $38,750]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medianHouseholdIncomeCensus2000 Context triple: [Queen Anne, Maryland, medianHouseholdIncomeCensus2000, $38,750]
-
A.
medianHouseholdIncome
chosen
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.
-
B.
medianFamilyIncome2000USD
Indicates the median income earned by families in the year 2000, expressed in U.S. dollars.
-
C.
medianHouseholdIncomeEstimateYear
Indicates the specific year for which the median household income value is estimated.
-
D.
perCapitaIncome2000USD
Indicates the amount of income earned on average per person, measured in U.S. dollars for the year 2000.
-
E.
medianHouseholdIncomeRank
Indicates the relative position of a household’s income compared to others, typically ordered from lowest to highest median income.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da543e74819083ebea41ca20e0e9 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:36 p.m.