Triple
T19849056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House on Mango Street |
E476946
|
entity |
| Predicate | settingNeighborhoodType |
P104439
|
FINISHED |
| Object | working-class Latino neighborhood |
—
|
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: working-class Latino neighborhood | Statement: [The House on Mango Street, settingNeighborhoodType, working-class Latino neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingNeighborhoodType Context triple: [The House on Mango Street, settingNeighborhoodType, working-class Latino neighborhood]
-
A.
settingLocationType
chosen
Indicates the type or category of location in which an event, action, or situation takes place.
-
B.
notableNeighborhoodType
Indicates that a neighborhood is notably characterized by, or strongly associated with, a particular type or category (e.g., residential, commercial, historic).
-
C.
neighborhoodFunction
Indicates a relationship where one entity defines or determines the set of nearby or closely related entities (its “neighborhood”) for another entity within a given structure or space.
-
D.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
E.
typicalNeighborhoods
Indicates that the associated neighborhoods are characteristic or commonly found examples for the given entity or context.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658664368819082783bc40342a26a |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.