Triple
T509405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2 train |
E10571
|
entity |
| Predicate | hasRouteSymbol |
P9560
|
FINISHED |
| Object | 2 in red circle |
—
|
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: 2 in red circle | Statement: [2 train, hasRouteSymbol, 2 in red circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteSymbol Context triple: [2 train, hasRouteSymbol, 2 in red circle]
-
A.
hasRoute
Indicates that there exists a path or connection enabling travel or communication from one entity to another.
-
B.
hasRouteColorStandard
chosen
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
C.
hasBusinessRoute
Indicates that there exists an established commercial or service route connecting two business-related entities.
-
D.
followsRouteOf
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
E.
isMajorRouteFor
Indicates that something serves as a primary or heavily used pathway or channel for the movement or flow of something else.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f164a9d48190b525a97b5c06ffe2 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edfe236481909901cc7d4281b33c |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.