Triple
T31430090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred "Paper Boi" Miles |
E801771
|
entity |
| Predicate | hasHomeNeighborhood |
P4813
|
FINISHED |
| Object | Atlanta’s West Side (implied) |
—
|
NE NERFINISHED |
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: Atlanta’s West Side (implied) | Statement: [Alfred "Paper Boi" Miles, hasHomeNeighborhood, Atlanta’s West Side (implied)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeNeighborhood Context triple: [Alfred "Paper Boi" Miles, hasHomeNeighborhood, Atlanta’s West Side (implied)]
-
A.
hasNeighbourhood
chosen
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
B.
hasNeighborhoodAssociation
Indicates that an entity is associated with, or falls under the jurisdiction of, a particular neighborhood association.
-
C.
hasHome
Indicates that an entity possesses or is associated with a place where it lives or is based.
-
D.
hasNeighbourhoodStatus
Indicates that an entity has a particular status, classification, or condition specifically in relation to a given neighbourhood.
-
E.
hasHouseWithin
Indicates that one entity possesses or is associated with a house that is located within the spatial or administrative boundaries of another entity.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 30, 2026, 8:56 p.m.