Triple
T27656268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark Street |
E697000
|
entity |
| Predicate | neighborhoodCharacterizedBy |
P9356
|
FINISHED |
| Object | historic residential buildings |
—
|
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: historic residential buildings | Statement: [Clark Street, neighborhoodCharacterizedBy, historic residential buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighborhoodCharacterizedBy Context triple: [Clark Street, neighborhoodCharacterizedBy, historic residential buildings]
-
A.
neighborhoodCharacteristic
chosen
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
B.
typicalNeighborhoods
Indicates that the associated neighborhoods are characteristic or commonly found examples for the given entity or context.
-
C.
neighborhood
Indicates that one entity is located in close spatial proximity to another, typically within the same local area or district.
-
D.
neighborDescription
Indicates that one entity is described as being located near or adjacent to another entity, typically sharing a close spatial or contextual proximity.
-
E.
depictsNeighborhood
Indicates that one entity visually represents or portrays the neighborhood or local area associated with 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 2:34 p.m.