Triple
T26182471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M27 line |
E654722
|
entity |
| Predicate | plannedInfrastructureType |
P56025
|
FINISHED |
| Object | underground railway (likely) |
—
|
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: underground railway (likely) | Statement: [M27 line, plannedInfrastructureType, underground railway (likely)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannedInfrastructureType Context triple: [M27 line, plannedInfrastructureType, underground railway (likely)]
-
A.
isPartOfInfrastructureType
Indicates that something belongs to, or is categorized under, a specific type of infrastructure.
-
B.
builtInfrastructureType
Indicates the specific kind or category of built infrastructure associated with or characterized by the subject.
-
C.
proposedInfrastructure
Indicates that an infrastructure project or facility has been suggested or planned but not yet approved, built, or implemented between the related entities.
-
D.
typeOfTransportInfrastructure
chosen
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
-
E.
regionTypePlanned
Indicates that a region is intended or designated to have a specific type or classification in a planned or future state.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 26, 2026, 8:40 p.m.