Triple
T31433715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ET&WNC Railroad corridor |
E801865
|
entity |
| Predicate | transportationModeHistoric |
P127684
|
FINISHED |
| Object | steam railroad |
—
|
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: steam railroad | Statement: [ET&WNC Railroad corridor, transportationModeHistoric, steam railroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationModeHistoric Context triple: [ET&WNC Railroad corridor, transportationModeHistoric, steam railroad]
-
A.
transportModeHistorical
chosen
Indicates the mode of transportation that was historically used in a given movement, route, or transport event.
-
B.
transportationTypeHistoricallyImportant
Indicates that a mode of transportation has played a significant role or had notable impact in historical events, periods, or developments.
-
C.
transportEra
Indicates the historical period or era during which a given mode or instance of transport is primarily associated or took place.
-
D.
hasHistoricTransportLink
Indicates that there is or was a historically significant transportation connection between the related entities.
-
E.
historicalTransportation
Indicates that one entity served as a means or system of transportation for another in a historical context.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: April 30, 2026, 8:59 p.m.