Triple
T8031385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester, Sheffield and Lincolnshire Railway interests (partial) |
E186986
|
entity |
| Predicate | acquisitionScope |
P80673
|
FINISHED |
| Object | selected lines |
—
|
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: selected lines | Statement: [Manchester, Sheffield and Lincolnshire Railway interests (partial), acquisitionScope, selected lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionScope Context triple: [Manchester, Sheffield and Lincolnshire Railway interests (partial), acquisitionScope, selected lines]
-
A.
accessScope
Indicates the extent or boundaries of access that one entity has to another entity or resource.
-
B.
availabilityScope
Indicates the extent or context within which something is available, accessible, or applicable.
-
C.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
D.
operationalScope
Indicates the range, extent, or boundaries within which an entity, process, or activity is authorized or designed to operate.
-
E.
acquisitionTarget
Indicates that one entity is the intended or actual company or asset being acquired by another in a merger or acquisition transaction.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:22 p.m.