Triple
T12446245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago street grid |
E297406
|
entity |
| Predicate | addressIncreasePerMile |
P105062
|
FINISHED |
| Object | 800 numbers |
—
|
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 numbers | Statement: [Chicago street grid, addressIncreasePerMile, 800 numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressIncreasePerMile Context triple: [Chicago street grid, addressIncreasePerMile, 800 numbers]
-
A.
fareIncreasesRequire
Indicates that any increase in fare is contingent upon or must be accompanied by a specified requirement or condition.
-
B.
percentageIncreaseSincePreviousCensus
Indicates the proportional rise in a measured quantity, expressed as a percentage, compared to its value in the immediately preceding census.
-
C.
increasedRateOn
Indicates that one entity has raised the rate, fee, or charge applied to another entity.
-
D.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
E.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
- 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.