Triple
T11050728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merillon Avenue station |
E261238
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
MRLN
MRLN is the station code for Merillon Avenue, a Long Island Rail Road commuter rail station in Nassau County, New York.
|
E901366
|
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: MRLN | Statement: [Merillon Avenue station, hasStationCode, MRLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRLN Context triple: [Merillon Avenue station, hasStationCode, MRLN]
-
A.
MLN
MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
-
B.
MALR
MALR is Egypt’s government ministry responsible for overseeing agricultural policy, rural development, and the management and reclamation of agricultural land.
-
C.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
D.
RNLN
RNLN is the abbreviation commonly used for the Royal Netherlands Navy, the maritime branch of the Dutch armed forces.
-
E.
M line
The M line is a New York City Subway service that runs primarily in Manhattan, Brooklyn, and Queens, connecting neighborhoods such as Middle Village and Forest Hills with Midtown Manhattan via the Sixth Avenue 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: MRLN Triple: [Merillon Avenue station, hasStationCode, MRLN]
Generated description
MRLN is the station code for Merillon Avenue, a Long Island Rail Road commuter rail station in Nassau County, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRLN Target entity description: MRLN is the station code for Merillon Avenue, a Long Island Rail Road commuter rail station in Nassau County, New York.
-
A.
MLN
MLN is the IATA airport code for Melilla Airport, which serves the Spanish autonomous city of Melilla on the north coast of Africa.
-
B.
MALR
MALR is Egypt’s government ministry responsible for overseeing agricultural policy, rural development, and the management and reclamation of agricultural land.
-
C.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
D.
RNLN
RNLN is the abbreviation commonly used for the Royal Netherlands Navy, the maritime branch of the Dutch armed forces.
-
E.
M line
The M line is a New York City Subway service that runs primarily in Manhattan, Brooklyn, and Queens, connecting neighborhoods such as Middle Village and Forest Hills with Midtown Manhattan via the Sixth Avenue 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798698bd88190aa97afd37f55e19f |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa146b148190a87205e542cc718f |
completed | April 18, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69e3ad0379888190b2f56d36d79bf97d |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b206c7a4819087eb06faa6e1af21 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.