Triple
T15120037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DfT category E |
E361145
|
entity |
| Predicate | hasNarrowerCategory |
P70092
|
FINISHED |
| Object | DfT category F1 |
E990091
|
NE FINISHED |
How this triple was built (3 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: DfT category F1 | Statement: [DfT category E, hasNarrowerCategory, DfT category F1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DfT category F1 Context triple: [DfT category E, hasNarrowerCategory, DfT category F1]
-
A.
Department for Transport category F1
chosen
Department for Transport category F1 is a UK railway station classification denoting a very small, typically unstaffed local station with low passenger usage and basic facilities.
-
B.
DfT category F2
DfT category F2 is a UK Department for Transport classification for very small, lightly used railway stations with minimal facilities.
-
C.
DfT category C1
DfT category C1 is a UK Department for Transport classification denoting a busy medium-sized railway station with significant passenger usage and facilities.
-
D.
DfT category E
DfT category E is a classification used by the UK Department for Transport for small, typically unstaffed or lightly staffed local railway stations with relatively low passenger usage.
-
E.
DfT category B
DfT category B is a UK Department for Transport classification for major railway stations that handle high passenger volumes but are not the very busiest national hubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNarrowerCategory Context triple: [DfT category E, hasNarrowerCategory, DfT category F1]
-
A.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
B.
hasParentCategory
Indicates that an entity belongs to or is organized under a broader, more general category.
-
C.
containsCategory
chosen
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
-
D.
hasCategoryLevel
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
E.
hasRelatedCategory
Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
- F. None of above.
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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059e036c8190959ff3bde8f2356f |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f2e3408190ae095d16396e420d |
completed | May 9, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:06 a.m.