Triple
T10709293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson station (Chicago "L") |
E252489
|
entity |
| Predicate | isTransferPoint |
P87149
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wilson station (Chicago "L"), isTransferPoint, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTransferPoint Context triple: [Wilson station (Chicago "L"), isTransferPoint, yes]
-
A.
isTransferStationWith
chosen
Indicates that a station functions as an intermediate transfer point where passengers or goods can switch between different routes, lines, or modes of transport.
-
B.
isTouristTransitPoint
Indicates that a location serves as a transit hub or intermediate stop primarily used by tourists while traveling between destinations.
-
C.
isTransportHubType
Indicates that something serves as or belongs to a particular category of transport hub (such as a station, port, or terminal).
-
D.
wasTransitPointOn
Indicates that something served as an intermediate stop or passage location along a specified route, journey, or transport path.
-
E.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe5063bc8190ba12fd68a59c9a03 |
completed | April 9, 2026, 1:18 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:13 p.m.