Triple
T27516530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Union Railway |
E694579
|
entity |
| Predicate | openedMainLineBetween |
P152624
|
FINISHED |
| Object | Wigan |
—
|
NE NERFINISHED |
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: Wigan | Statement: [North Union Railway, openedMainLineBetween, Wigan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedMainLineBetween Context triple: [North Union Railway, openedMainLineBetween, Wigan]
-
A.
openedRouteBetween
chosen
Indicates that an agent initiated or established a route or connection enabling movement or communication between two locations or entities.
-
B.
openedFirstLine
Indicates that one entity initiated the opening of something (e.g., a file, document, or interface) before any other entity did, being the first to perform the opening action.
-
C.
openingLineStatus
Indicates the status or condition of an entity’s opening line, such as whether it exists, is valid, or meets a specified criterion.
-
D.
openedBetween
Indicates that an entity was opened during a time interval that falls between two specified temporal bounds.
-
E.
openingLine
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 1:18 p.m.