Triple
T5218637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fullerton station |
E117813
|
entity |
| Predicate | mapColor_BrownLine |
P55828
|
FINISHED |
| Object | brown |
—
|
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: brown | Statement: [Fullerton station, mapColor_BrownLine, brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapColor_BrownLine Context triple: [Fullerton station, mapColor_BrownLine, brown]
-
A.
mapColorBrownLine
chosen
Indicates that an entity is associated with the brown-colored line on a map (e.g., a transit or route line depicted in brown).
-
B.
mapColorSilverLine
Indicates that a map feature is represented or highlighted using a silver-colored line.
-
C.
mapColorOrangeLine
Indicates that an entity is associated with, represented by, or rendered using the color of the orange line on a map.
-
D.
metroLineColor
Indicates the color assigned to a specific metro or subway line in a transit system.
-
E.
mapColorYellowLine
Indicates that a map feature is represented or highlighted using a yellow line.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a96d49c8190a58726a57edebdcc |
completed | March 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.