Triple
T16909096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington (Blue) |
E410145
|
entity |
| Predicate | downtownLoopRelation |
P26184
|
FINISHED |
| Object | within Chicago Loop area |
—
|
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: within Chicago Loop area | Statement: [Washington (Blue), downtownLoopRelation, within Chicago Loop area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: downtownLoopRelation Context triple: [Washington (Blue), downtownLoopRelation, within Chicago Loop area]
-
A.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
B.
connectsDowntownTo
chosen
Indicates a relationship where one location, route, or service provides a direct connection or access to a downtown area.
-
C.
citySquareRelation
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.
cityInfrastructureRelation
Indicates a relationship between a city and elements of its infrastructure, such as facilities, networks, or services that support its functioning.
-
E.
roadJunctionRelation
Indicates a spatial connection where two or more roads meet, intersect, or join at a junction.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.