Triple
T14364790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lechmere Viaduct |
E356202
|
entity |
| Predicate | hasNearbyStation |
P5648
|
FINISHED |
| Object | Lechmere station |
E92544
|
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: Lechmere station | Statement: [Lechmere Viaduct, hasNearbyStation, Lechmere station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lechmere station Context triple: [Lechmere Viaduct, hasNearbyStation, Lechmere station]
-
A.
Lechmere station
chosen
Lechmere station is a Massachusetts Bay Transportation Authority (MBTA) Green Line light rail station serving the East Cambridge neighborhood of Cambridge, Massachusetts.
-
B.
Linden station
Linden station is a New Jersey Transit commuter rail stop in Linden, New Jersey, providing service along major regional routes between New York City and points south.
-
C.
Linden station
Linden station is a Chicago Transit Authority rapid transit station in Wilmette, Illinois, serving as the northern endpoint of the Purple Line.
-
D.
Beynes station
Beynes station is a suburban railway station in Beynes, France, served by Paris’ Transilien commuter network.
-
E.
Poplar station
Poplar station is a light rail stop serving the suburb of Mt. Lebanon in the Pittsburgh, Pennsylvania metropolitan area.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550e677c8190837c3b9ccb64f0cd |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.