Triple
T38549003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York and Erie Railroad |
E925053
|
entity |
| Predicate | openedRegion |
P195888
|
FINISHED |
| Object | Southern Tier of New York to commerce |
—
|
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: Southern Tier of New York to commerce | Statement: [New York and Erie Railroad, openedRegion, Southern Tier of New York to commerce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedRegion Context triple: [New York and Erie Railroad, openedRegion, Southern Tier of New York to commerce]
-
A.
openedWithArea
Indicates that something was opened using a specified area, region, or spatial extent as the means or context for the opening action.
-
B.
openedAlong
Indicates that one entity was opened or inaugurated at the same time or in parallel with another entity.
-
C.
openedSegment
Indicates that one entity has initiated or created a new segment, section, or interval within another entity or process.
-
D.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
-
E.
openedDuring
Indicates that an entity began operating, became accessible, or was inaugurated within a specified time period or event.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
| PDg | Predicate description generation | batch_69fdec5f0420819087c0230ad384c4ba |
completed | May 8, 2026, 1:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.