Triple
T34722712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oi Man Estate |
E1000961
|
entity |
| Predicate | primaryResidentIncomeGroup |
P2987
|
FINISHED |
| Object | lower-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: lower-income | Statement: [Oi Man Estate, primaryResidentIncomeGroup, lower-income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResidentIncomeGroup Context triple: [Oi Man Estate, primaryResidentIncomeGroup, lower-income]
-
A.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
B.
householdIncome
Indicates the monetary income received by a household, typically over a specified period such as a year.
-
C.
significantResidentOccupation
Indicates that a resident’s occupation is notably important or defining in the context of their residence or community.
-
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.
residenceGroup
Indicates that multiple entities share a common place of residence or are grouped together based on living at the same location.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.