Triple
T6335897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S8 |
E142489
|
entity |
| Predicate | hasColorOnNetworkMap |
P34402
|
FINISHED |
| Object | designated line color specific to S8 |
—
|
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: designated line color specific to S8 | Statement: [S8, hasColorOnNetworkMap, designated line color specific to S8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOnNetworkMap Context triple: [S8, hasColorOnNetworkMap, designated line color specific to S8]
-
A.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
B.
circuitColorOnMaps
Indicates that a circuit is represented with a specific color on one or more maps.
-
C.
hasColorInfo
Indicates that an entity is associated with specific color-related information or attributes.
-
D.
hasRouteColorStandard
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654a88a881908d5cb2aa7f22c4c7 |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.