Triple
T14385977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BW |
E356722
|
entity |
| Predicate | associatedWithLineColor |
P34402
|
FINISHED |
| Object | U6 line color (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: U6 line color (turquoise) | Statement: [BW, associatedWithLineColor, U6 line color (turquoise)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLineColor Context triple: [BW, associatedWithLineColor, U6 line color (turquoise)]
-
A.
associatedLine
Indicates that one entity is linked or connected to a particular line (such as a line item, line of text, or line in a structure) with which it is contextually or functionally related.
-
B.
associatedColour
Indicates that one entity is linked to another as its characteristic or representative colour.
-
C.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
D.
associatedWithLabel
Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
-
E.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.