Triple
T8134389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (DART) |
E189932
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Hatcher station
Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
|
E719776
|
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: Hatcher station | Statement: [Green Line (DART), hasStation, Hatcher station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatcher station Context triple: [Green Line (DART), hasStation, Hatcher station]
-
A.
Tuxedo station
Tuxedo station is a commuter rail stop in Tuxedo, New York, serving passengers on the Port Jervis Line between New York City and Orange County.
-
B.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
C.
Hawthorne station
Hawthorne station is a commuter rail stop in Mount Pleasant, New York, serving passengers on the Metro-North Railroad’s Harlem Line.
-
D.
Harrison station
Harrison station is a commuter rail stop in Harrison, New Jersey, serving passengers on the PATH rapid transit system between Newark and New York City.
-
E.
Noyes station
Noyes station is an elevated Chicago Transit Authority 'L' station on the Purple Line serving the Evanston area north of Chicago.
- 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: Hatcher station Triple: [Green Line (DART), hasStation, Hatcher station]
Generated description
Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatcher station Target entity description: Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
-
A.
Tuxedo station
Tuxedo station is a commuter rail stop in Tuxedo, New York, serving passengers on the Port Jervis Line between New York City and Orange County.
-
B.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem Line.
-
C.
Hawthorne station
Hawthorne station is a commuter rail stop in Mount Pleasant, New York, serving passengers on the Metro-North Railroad’s Harlem Line.
-
D.
Harrison station
Harrison station is a commuter rail stop in Harrison, New Jersey, serving passengers on the PATH rapid transit system between Newark and New York City.
-
E.
Noyes station
Noyes station is an elevated Chicago Transit Authority 'L' station on the Purple Line serving the Evanston area north of Chicago.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43bbae608190bdc1afe6f0ab83ae |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced20909481909e44182f1a8fb2a1 |
completed | April 1, 2026, 10:02 a.m. |
| NEDg | Description generation | batch_69ccf1b5f95481909fdb08d00d06023e |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd055292088190927046793cec1c36 |
completed | April 1, 2026, 11:45 a.m. |
Created at: March 30, 2026, 5:35 p.m.