Triple
T24123756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Ridge station |
E597733
|
entity |
| Predicate | zoneInMetraSystem |
P154938
|
FINISHED |
| Object | Zone D |
—
|
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: Zone D | Statement: [Chicago Ridge station, zoneInMetraSystem, Zone D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneInMetraSystem Context triple: [Chicago Ridge station, zoneInMetraSystem, Zone D]
-
A.
relationToMetrotram
Indicates a spatial or functional relationship between something and a metro or tram system, such as proximity, connection, or relevance to it.
-
B.
nearestMajorMetro
Indicates the relationship where a given location is associated with the closest large metropolitan area to it.
-
C.
nearMetroStation
Indicates that one entity is located close to or within a short walking distance of a metro (subway) station.
-
D.
coordinatesTransit
Indicates that one entity organizes, manages, or synchronizes the transit or transportation activities of another entity or between multiple entities.
-
E.
chicagoTerminus
Indicates that a route, line, or service has its final terminus or endpoint in Chicago.
- 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_69e288c808b881909fed7d18f04bcbbe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee718f88190860d40c6f09a77c8 |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:06 p.m.