Triple
T35183397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malba |
E1015914
|
entity |
| Predicate | belongsToNeighborhoodCluster |
P199344
|
FINISHED |
| Object | Whitestone area |
—
|
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: Whitestone area | Statement: [Malba, belongsToNeighborhoodCluster, Whitestone area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNeighborhoodCluster Context triple: [Malba, belongsToNeighborhoodCluster, Whitestone area]
-
A.
hasNeighborhoodCluster
chosen
Indicates that one area or location is grouped within a specific neighborhood cluster based on spatial or community-related characteristics.
-
B.
hasNeighborhoodRole
Indicates that an entity holds a specific role, function, or position within a neighborhood or local community context.
-
C.
hasNeighborhoodAssociation
Indicates that an entity is associated with, or falls under the jurisdiction of, a particular neighborhood association.
-
D.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
E.
isPartOfNeighborhoodArea
Indicates that one area or unit is contained within or belongs to a specific neighborhood area.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 3, 2026, 4:02 p.m.