Triple
T8966472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rollingwood, Texas |
E214146
|
entity |
| Predicate | hasIncomeLevel |
P2987
|
FINISHED |
| Object | high median household income |
—
|
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: high median household income | Statement: [Rollingwood, Texas, hasIncomeLevel, high median household income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIncomeLevel Context triple: [Rollingwood, Texas, hasIncomeLevel, high median household income]
-
A.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
B.
hasEconomicActivityLevel
Indicates the degree or intensity of economic activity associated with an entity, such as its level of production, trade, or financial transactions.
-
C.
incomeMeasure
Indicates a relationship where one entity serves as a measure or metric of another entity’s income.
-
D.
requiresEarnedIncome
Indicates that something is conditional upon an individual or entity having earned income, such as wages or salary, in order to qualify or apply.
-
E.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67623818819096aee155a9b43e8f |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed9a2d48190ad11381078e823b7 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:01 p.m.