Triple
T25292468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Square |
E634123
|
entity |
| Predicate | streetGridRelation |
P115132
|
FINISHED |
| Object | one of the squares in Savannah’s orthogonal grid |
—
|
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: one of the squares in Savannah’s orthogonal grid | Statement: [Columbia Square, streetGridRelation, one of the squares in Savannah’s orthogonal grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetGridRelation Context triple: [Columbia Square, streetGridRelation, one of the squares in Savannah’s orthogonal grid]
-
A.
streetGridExtendedFrom
Indicates that one street grid layout continues or expands outward from another street grid as its extension.
-
B.
streetGridOrientation
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
C.
citySquareRelation
chosen
Indicates a spatial or organizational relationship between a city and one of its public squares (e.g., that the square is located in, belongs to, or is part of that city).
-
D.
roadJunctionRelation
Indicates a spatial connection where two or more roads meet, intersect, or join at a junction.
-
E.
cityInfrastructureRelation
Indicates a relationship between a city and elements of its infrastructure, such as facilities, networks, or services that support its functioning.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 1:22 p.m.