Triple
T2038422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson–Bergen Light Rail |
E44685
|
entity |
| Predicate | hasColorOnMaps |
P18249
|
FINISHED |
| Object | light rail symbol used by NJ Transit |
—
|
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: light rail symbol used by NJ Transit | Statement: [Hudson–Bergen Light Rail, hasColorOnMaps, light rail symbol used by NJ Transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOnMaps Context triple: [Hudson–Bergen Light Rail, hasColorOnMaps, light rail symbol used by NJ Transit]
-
A.
mapColor
Indicates a relationship where a map region or area is assigned or associated with a specific color, typically for visualization or categorization purposes.
-
B.
circuitColorOnMaps
Indicates that a circuit is represented with a specific color on one or more maps.
-
C.
hasColorSymbol
chosen
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
E.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb951870481909dbdd8fc8b0c02fe |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.