Triple
T13909433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle Harbor |
E334444
|
entity |
| Predicate | servedByExpressBusRoute |
P39381
|
FINISHED |
| Object |
MTA QM17
MTA QM17 is a New York City express bus route that provides commuter service between Belle Harbor in Queens and Midtown Manhattan.
|
E1070251
|
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: MTA QM17 | Statement: [Belle Harbor, servedByExpressBusRoute, MTA QM17]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTA QM17 Context triple: [Belle Harbor, servedByExpressBusRoute, MTA QM17]
-
A.
MTA
MTA is the public transportation authority serving the New York City metropolitan area, operating subways, buses, and commuter rail systems.
-
B.
MTA
MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
-
C.
MTA
MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
-
D.
MTA
MTA is the main regulated equities market segment of Borsa Italiana, where shares of medium and large Italian and international companies are listed and traded.
-
E.
MTA
MTA is an abbreviation for the Project on Managing the Atom, a research initiative focused on nuclear policy, security, and governance.
- 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: MTA QM17 Triple: [Belle Harbor, servedByExpressBusRoute, MTA QM17]
Generated description
MTA QM17 is a New York City express bus route that provides commuter service between Belle Harbor in Queens and Midtown Manhattan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTA QM17 Target entity description: MTA QM17 is a New York City express bus route that provides commuter service between Belle Harbor in Queens and Midtown Manhattan.
-
A.
MTA
MTA is the public transportation authority serving the New York City metropolitan area, operating subways, buses, and commuter rail systems.
-
B.
MTA
MTA is the commonly used abbreviation for the Maryland Transit Administration, the state agency that operates public transportation services in and around Baltimore, Maryland.
-
C.
MTA
MTA is the abbreviated name historically used for Boston’s Metropolitan Transit Authority, the predecessor to today’s MBTA public transit system.
-
D.
MTA
MTA is the Hungarian Academy of Sciences, Hungary’s foremost scholarly institution overseeing and supporting scientific research across disciplines.
-
E.
MTA
MTA is an abbreviation for the Project on Managing the Atom, a research initiative focused on nuclear policy, security, and governance.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7638a88190aae1b59c00ee27ce |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 9, 2026, 10:16 p.m.