Triple
T25807723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spokane, Portland and Seattle Railway |
E650016
|
entity |
| Predicate | hasHistoricalDocumentation |
P61980
|
FINISHED |
| Object | railroad history books about the Pacific Northwest |
—
|
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: railroad history books about the Pacific Northwest | Statement: [Spokane, Portland and Seattle Railway, hasHistoricalDocumentation, railroad history books about the Pacific Northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalDocumentation Context triple: [Spokane, Portland and Seattle Railway, hasHistoricalDocumentation, railroad history books about the Pacific Northwest]
-
A.
historicallyDocumentedBy
Indicates that information about an entity or event is recorded or attested in a specific historical document or source.
-
B.
hasHistoricalText
chosen
Indicates that an entity is associated with a historical written document or record describing it or its past.
-
C.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
-
D.
hasHistoricalContext
Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
-
E.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 22, 2026, 7:05 a.m.