Triple
T12937510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ronkonkoma station |
E309551
|
entity |
| Predicate | formerNameOf |
P65
|
FINISHED |
| Object | Ronkonkoma station |
E78790
|
NE 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: Ronkonkoma station | Statement: [Lake Ronkonkoma station, formerNameOf, Ronkonkoma station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronkonkoma station Context triple: [Lake Ronkonkoma station, formerNameOf, Ronkonkoma station]
-
A.
Ronkonkoma station
chosen
Ronkonkoma station is a major Long Island Rail Road hub in Ronkonkoma, New York, serving as a key transfer and commuter point for central Long Island.
-
B.
Kejaksan Station
Kejaksan Station is a major railway station in Cirebon, Indonesia, serving as an important hub for intercity and regional train services on Java.
-
C.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
-
D.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
-
E.
Mount Kisco station
Mount Kisco station is a commuter rail station in Mount Kisco, New York, serving as a stop on the Metro-North Railroad's Harlem Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6ef89881908ec3138b9f4a8b1a |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.