Triple
T34506536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hegewisch |
E885901
|
entity |
| Predicate | hasStreetGridAlignment |
P5264
|
FINISHED |
| Object | Chicago street grid |
—
|
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: Chicago street grid | Statement: [Hegewisch, hasStreetGridAlignment, Chicago street grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetGridAlignment Context triple: [Hegewisch, hasStreetGridAlignment, Chicago street grid]
-
A.
hasStreetGridPattern
Indicates that an area’s street layout follows a structured, grid-like pattern of intersecting roads.
-
B.
hasStreetGridFeature
Indicates that a location or area possesses a specific characteristic or element of a street grid layout, such as a particular pattern, structure, or feature of its road network.
-
C.
hasStreetGridContext
Indicates that one entity is situated within, influenced by, or characterized in relation to the street grid pattern or layout of another entity.
-
D.
streetGridOrientation
chosen
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
E.
streetGridExtendedFrom
Indicates that one street grid layout continues or expands outward from another street grid as its extension.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff9b1ad27081908f8a492396950795 |
completed | May 9, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69ff9a6354c48190ae21070c1424cb7a |
completed | May 9, 2026, 8:34 p.m. |
Created at: May 1, 2026, 2:01 a.m.