Triple
T2947216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloucester Road tube station |
E79530
|
entity |
| Predicate | hasMapSymbol |
P19295
|
FINISHED |
| Object | tube station symbol |
—
|
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: tube station symbol | Statement: [Gloucester Road tube station, hasMapSymbol, tube station symbol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMapSymbol Context triple: [Gloucester Road tube station, hasMapSymbol, tube station symbol]
-
A.
hasMapType
Indicates that one entity is associated with a specific type or category of map.
-
B.
mapSymbol
chosen
Indicates a correspondence where one symbol is used to represent, stand for, or denote another element within a mapping or representation system.
-
C.
hasMapReference
Indicates that an entity is associated with a specific map or map location reference.
-
D.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
E.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b5916c8190b1163bf0b7fa136a |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.