Triple
T7791271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairmount Line |
E180183
|
entity |
| Predicate | historicalRouteUsed |
P12633
|
FINISHED |
| Object | former New York and New England Railroad main 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: former New York and New England Railroad main line | Statement: [Fairmount Line, historicalRouteUsed, former New York and New England Railroad main line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRouteUsed Context triple: [Fairmount Line, historicalRouteUsed, former New York and New England Railroad main line]
-
A.
hasHistoricalRoute
chosen
Indicates that an entity possesses or is associated with a route that has historical significance or origin.
-
B.
historicRoute
Indicates that a route has historical significance, typically due to its age, past usage, or role in notable events.
-
C.
hasTourHistory
Indicates that an entity has a record of past tours or tour-related activities.
-
D.
historicalPass
Indicates that an entity has successfully completed or passed a historical event, period, or examination related to history.
-
E.
hasTransportHistoryAs
Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:30 p.m.