Triple
T14548893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabrini Extension North |
E341360
|
entity |
| Predicate | socioeconomicStatusOfResidents |
P2987
|
FINISHED |
| Object | low-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: low-income | Statement: [Cabrini Extension North, socioeconomicStatusOfResidents, low-income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socioeconomicStatusOfResidents Context triple: [Cabrini Extension North, socioeconomicStatusOfResidents, low-income]
-
A.
socioEconomicBase
Indicates a foundational socio-economic relationship where one entity serves as the economic or social basis, support, or underlying structure for another.
-
B.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
C.
urbanStatusContext
Indicates the relationship between an entity and the urban characteristics or conditions of its surrounding environment or context.
-
D.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
E.
subjectSocialStatus
Indicates the social standing or rank that the subject holds within a society or group.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.