Triple
T7247528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar station |
E156512
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object |
Link Belt station
Link Belt station is a SEPTA Regional Rail station in Hatfield Township, Pennsylvania, serving the Lansdale/Doylestown Line.
|
E651855
|
NE FINISHED |
How this triple was built (4 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: Link Belt station | Statement: [Colmar station, hasAdjacentStation, Link Belt station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Link Belt station Context triple: [Colmar station, hasAdjacentStation, Link Belt station]
-
A.
Carpenter station
Carpenter station is a regional rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Chestnut Hill West Line.
-
B.
Rockwell station
Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
-
C.
Wheeler station
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
-
D.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
-
E.
Bell Station
Bell Station is a small unincorporated community in Santa Clara County, California.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Link Belt station Triple: [Colmar station, hasAdjacentStation, Link Belt station]
Generated description
Link Belt station is a SEPTA Regional Rail station in Hatfield Township, Pennsylvania, serving the Lansdale/Doylestown Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Link Belt station Target entity description: Link Belt station is a SEPTA Regional Rail station in Hatfield Township, Pennsylvania, serving the Lansdale/Doylestown Line.
-
A.
Carpenter station
Carpenter station is a regional rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Chestnut Hill West Line.
-
B.
Rockwell station
Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
-
C.
Wheeler station
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
-
D.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
-
E.
Bell Station
Bell Station is a small unincorporated community in Santa Clara County, California.
- F. None of above. chosen
Provenance (5 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea749fb08190841c0aa8c5bd0727 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d39dab6081909842bfa37ff3f972 |
completed | March 28, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69c7d4690adc81909abbfb7a756f453d |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d5137efc81908745cca73b112f0c |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:56 p.m.