Triple
T12446241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago street grid |
E297406
|
entity |
| Predicate | standardMileLength |
P105061
|
FINISHED |
| Object | 800 address numbers per mile |
—
|
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: 800 address numbers per mile | Statement: [Chicago street grid, standardMileLength, 800 address numbers per mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardMileLength Context triple: [Chicago street grid, standardMileLength, 800 address numbers per mile]
-
A.
distanceStandard
Indicates that a specified distance between entities is measured or evaluated according to a particular standard or reference criterion.
-
B.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
C.
typicalMeterInEnglish
Indicates that a given poetic meter is commonly or characteristically used in English verse.
-
D.
typicalRaceDistanceUnit
Indicates the standard unit of measurement used to express the usual race distance associated with an entity.
-
E.
runwayLengthUnit
Indicates the unit of measurement used to express the length of a runway in the relationship.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:56 p.m.