Triple
T12446243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago street grid |
E297406
|
entity |
| Predicate | standardBlockLengthFeet |
P75639
|
FINISHED |
| Object | approximately 660 feet |
—
|
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: approximately 660 feet | Statement: [Chicago street grid, standardBlockLengthFeet, approximately 660 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardBlockLengthFeet Context triple: [Chicago street grid, standardBlockLengthFeet, approximately 660 feet]
-
A.
floorWidth
Indicates the horizontal extent or measurement of how wide a floor is.
-
B.
bedLength
Indicates the measurement of how long a bed is from one end to the other.
-
C.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
-
D.
dimensionOfLength
chosen
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
E.
heightApproximateFeet
Indicates that one entity’s height is approximately equal to a specified value measured in feet.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.