Triple
T1354862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chestnut Hill West Line |
E28964
|
entity |
| Predicate | hasColorOnSystemMap |
P9560
|
FINISHED |
| Object | dark green |
—
|
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: dark green | Statement: [Chestnut Hill West Line, hasColorOnSystemMap, dark green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorOnSystemMap Context triple: [Chestnut Hill West Line, hasColorOnSystemMap, dark green]
-
A.
isOnSystemMap
Indicates that an entity is currently displayed or represented on a particular system map.
-
B.
hasColorSymbol
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
C.
circuitColorOnMaps
Indicates that a circuit is represented with a specific color on one or more maps.
-
D.
hasRouteColorStandard
chosen
Indicates that a route is associated with a standardized color designation used for identification or classification.
-
E.
hasColorReference
Indicates that one entity serves as a reference or source for determining or specifying the color associated with another entity.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28afc848190925d8b2f9aeac12d |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.