Triple
T267161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancashire and Yorkshire Railway |
E5755
|
entity |
| Predicate | introducedSignallingInnovation |
P513
|
FINISHED |
| Object | power signalling |
—
|
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: power signalling | Statement: [Lancashire and Yorkshire Railway, introducedSignallingInnovation, power signalling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedSignallingInnovation Context triple: [Lancashire and Yorkshire Railway, introducedSignallingInnovation, power signalling]
-
A.
introduced
chosen
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
B.
introducedEvent
Indicates that an entity is responsible for bringing an event into existence or initiating it for the first time.
-
C.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
D.
signalType
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
E.
introducedConcept
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.