Triple
T9534079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverdale |
E229967
|
entity |
| Predicate | servedByBus |
P14525
|
FINISHED |
| Object |
Bx10
The Bx10 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
|
E806057
|
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: Bx10 | Statement: [Riverdale, servedByBus, Bx10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bx10 Context triple: [Riverdale, servedByBus, Bx10]
-
A.
TX-10
TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
-
B.
BXA
BXA is the former acronym for the U.S. Bureau of Export Administration, the federal agency that oversaw export controls and dual-use technology regulations.
-
C.
X-10
X-10 is the project code name for the Clinton Pile, an early nuclear reactor facility associated with the Manhattan Project.
-
D.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
-
E.
BX
BX is the IATA airline designator for Air Busan, a South Korean low-cost carrier based in Busan.
- 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: Bx10 Triple: [Riverdale, servedByBus, Bx10]
Generated description
The Bx10 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bx10 Target entity description: The Bx10 is a New York City bus route in the Bronx that connects the Riverdale neighborhood with other parts of the borough.
-
A.
TX-10
TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
-
B.
BXA
BXA is the former acronym for the U.S. Bureau of Export Administration, the federal agency that oversaw export controls and dual-use technology regulations.
-
C.
X-10
X-10 is the project code name for the Clinton Pile, an early nuclear reactor facility associated with the Manhattan Project.
-
D.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
-
E.
BX
BX is the IATA airline designator for Air Busan, a South Korean low-cost carrier based in Busan.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98c9fef88190beb291b41ee26066 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4804988190b99343734b4882e0 |
completed | April 4, 2026, 5:37 p.m. |
| NEDg | Description generation | batch_69d14e5455848190a0b2aa4d93204c6a |
completed | April 4, 2026, 5:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14eab4b6c819081e1f54cc79bf49f |
completed | April 4, 2026, 5:47 p.m. |
Created at: March 30, 2026, 8 p.m.