Triple
T11698710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago South Shore and South Bend Railroad |
E278064
|
entity |
| Predicate | beganThroughServiceBetweenChicagoAndSouthBend |
P101317
|
FINISHED |
| Object | 1909 |
—
|
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: 1909 | Statement: [Chicago South Shore and South Bend Railroad, beganThroughServiceBetweenChicagoAndSouthBend, 1909]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganThroughServiceBetweenChicagoAndSouthBend Context triple: [Chicago South Shore and South Bend Railroad, beganThroughServiceBetweenChicagoAndSouthBend, 1909]
-
A.
distanceFromChicagoTerminus
Indicates the measured distance of an entity from the Chicago terminus point along a specified route or network.
-
B.
distanceToSouthBend
Indicates the measured or calculated distance between a given entity and the location South Bend.
-
C.
blueLineServiceBegan
Indicates that service on the Blue Line began operating at a specified time or event.
-
D.
distanceFromChicagoUnionStation
Indicates the measured distance between a given location and Chicago Union Station.
-
E.
enteredConrailOn
Indicates that an entity began employment with, or formally joined, Conrail on a specified date or at a specified time.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47df68c81908a91919a69b4880d |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d89546a8688190b51455b5e12caf91 |
completed | April 10, 2026, 6:14 a.m. |
Created at: April 8, 2026, 9:40 p.m.