Triple
T2907511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo & City line |
E63600
|
entity |
| Predicate | mapColour |
P26636
|
FINISHED |
| Object | turquoise |
—
|
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: turquoise | Statement: [Waterloo & City line, mapColour, turquoise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapColour Context triple: [Waterloo & City line, mapColour, turquoise]
-
A.
mapColor
chosen
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
B.
mapColorLine
Indicates a relationship where a specific color is assigned to or associated with a particular line (such as a route, path, or boundary) on a map.
-
C.
mapColorBlueLine
Indicates that a map is rendered or highlighted using a blue-colored line to represent a particular feature or path.
-
D.
stateColours
Indicates that specific colours are officially associated with or designated for a particular state.
-
E.
mapDesigner
Indicates that an entity is the designer or creator responsible for producing a particular map.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d0628c81909680af2f0db2ecae |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.