Triple
T5445985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Coal, Iron and Railroad Company |
E122248
|
entity |
| Predicate | railroadOperationsLinked |
P24517
|
FINISHED |
| Object | mines to furnaces and mills |
—
|
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: mines to furnaces and mills | Statement: [Tennessee Coal, Iron and Railroad Company, railroadOperationsLinked, mines to furnaces and mills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railroadOperationsLinked Context triple: [Tennessee Coal, Iron and Railroad Company, railroadOperationsLinked, mines to furnaces and mills]
-
A.
railroadMet
Indicates that two or more railroads encountered or connected with each other at a specific place or time.
-
B.
railroadNetwork
chosen
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
C.
trainOperation
Indicates that an entity is engaged in operating, running, or managing the movement and service of a train.
-
D.
servedRailroadsIn
Indicates that an individual or entity provided service or worked in an official capacity for one or more specified railroad companies.
-
E.
coordinatesRailTrafficWith
Indicates that one entity organizes and synchronizes rail operations or movements with another entity to ensure coordinated train traffic.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.