Triple
T9014307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwalk–Redondo Beach corridor |
E215552
|
entity |
| Predicate | hasTransitLineColor |
P34412
|
FINISHED |
| Object | green (historical designation of C Line) |
—
|
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: green (historical designation of C Line) | Statement: [Norwalk–Redondo Beach corridor, hasTransitLineColor, green (historical designation of C Line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitLineColor Context triple: [Norwalk–Redondo Beach corridor, hasTransitLineColor, green (historical designation of C Line)]
-
A.
appliesToTransitLine
Indicates that a rule, condition, or characteristic is specifically associated with and relevant to a particular transit line.
-
B.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
-
C.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
D.
hasColorOnRouteMap
Indicates that a specific color is used to represent an entity (such as a route or line) on a route map.
-
E.
metroLineColor
chosen
Indicates the color assigned to a specific metro or subway line in a transit system.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fae0b88190a0aa989bc37ab2c7 |
completed | April 1, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:06 p.m.