Triple
T2295973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DART Green Line |
E51613
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
|
E310572
|
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: Bachman station | Statement: [DART Green Line, hasStation, Bachman station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bachman station Context triple: [DART Green Line, hasStation, Bachman station]
-
A.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
B.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
C.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
D.
Braintree station
Braintree station is a Massachusetts Bay Transportation Authority (MBTA) rapid transit and commuter rail station in Braintree, Massachusetts, serving as a major park-and-ride hub on Boston’s South Shore.
-
E.
Forest Park station
Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
- 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: Bachman station Triple: [DART Green Line, hasStation, Bachman station]
Generated description
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bachman station Target entity description: Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
A.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
B.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
C.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
D.
Braintree station
Braintree station is a Massachusetts Bay Transportation Authority (MBTA) rapid transit and commuter rail station in Braintree, Massachusetts, serving as a major park-and-ride hub on Boston’s South Shore.
-
E.
Forest Park station
Forest Park station is a Chicago Transit Authority rapid transit station in Forest Park, Illinois, serving as the western endpoint of the Blue Line.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5dc40f881908a3dcc518bbead55 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0559d1e708190bc8d28ed3706ae23 |
completed | March 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69b0600b4d588190b95be97da3ac0842 |
completed | March 10, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b062a6241c81909f3217a4a33aa4c6 |
completed | March 10, 2026, 6:27 p.m. |
Created at: March 4, 2026, 7:49 p.m.