Triple
T25214187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison/Wells station |
E631777
|
entity |
| Predicate | servedCircuit |
P169886
|
FINISHED |
| Object | Chicago downtown Loop circuit |
E31883
|
NE 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: Chicago downtown Loop circuit | Statement: [Madison/Wells station, servedCircuit, Chicago downtown Loop circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedCircuit Context triple: [Madison/Wells station, servedCircuit, Chicago downtown Loop circuit]
-
A.
servesCircuit
Indicates that an entity provides legal representation or service in a specified judicial circuit.
-
B.
hasCircuit
Indicates that an entity is equipped with, contains, or is associated with an electrical or logical circuit.
-
C.
isCircuit
Indicates that an entity functions as or constitutes an electrical or logical circuit within a system.
-
D.
circuitUsed
Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
-
E.
hostedByCircuit
Indicates that an event, activity, or process is organized, managed, or carried out under the responsibility or auspices of a particular circuit.
- F. None of above. chosen
Provenance (5 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105d3686a88190919ff1d24d11dd31 |
completed | May 22, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 21, 2026, 12:58 p.m.