Triple
T10251655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maze Hill railway station |
E240356
|
entity |
| Predicate | hasDfTCategory |
P33477
|
FINISHED |
| Object | E |
—
|
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: E | Statement: [Maze Hill railway station, hasDfTCategory, E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDfTCategory Context triple: [Maze Hill railway station, hasDfTCategory, E]
-
A.
hasTransportCategory
Indicates that one entity is classified under a particular category or type of transport associated with another entity.
-
B.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
C.
hasCategoryLevel
chosen
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
D.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
-
E.
containsCategory
Indicates that one entity includes or encompasses a specific category as part of its classification or organizational structure.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:29 a.m.