Triple
T19720599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (METRORail) |
E473596
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Lockwood/Eastwood station
Lockwood/Eastwood station is a light rail stop on Houston’s METRORail Green Line serving the East End area.
|
E1393599
|
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: Lockwood/Eastwood station | Statement: [Green Line (METRORail), hasStation, Lockwood/Eastwood station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lockwood/Eastwood station Context triple: [Green Line (METRORail), hasStation, Lockwood/Eastwood station]
-
A.
Maplewood station
Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
-
B.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
C.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
D.
Greystone station
Greystone station is a Metro-North Railroad commuter rail stop on the Hudson Line serving the Greystone neighborhood of Yonkers, New York.
-
E.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
- 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: Lockwood/Eastwood station Triple: [Green Line (METRORail), hasStation, Lockwood/Eastwood station]
Generated description
Lockwood/Eastwood station is a light rail stop on Houston’s METRORail Green Line serving the East End area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lockwood/Eastwood station Target entity description: Lockwood/Eastwood station is a light rail stop on Houston’s METRORail Green Line serving the East End area.
-
A.
Maplewood station
Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
-
B.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
C.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
D.
Greystone station
Greystone station is a Metro-North Railroad commuter rail stop on the Hudson Line serving the Greystone neighborhood of Yonkers, New York.
-
E.
Edgewood station
Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd5b317081908c24b611b85baebd |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07bdd25abc81908dac2444f7a9625e |
completed | May 16, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07be58e4088190a01c67b21b5ca34d |
completed | May 16, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:46 p.m.