Triple
T10640780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 50th Precinct |
E250713
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
50 Pct
50 Pct is the common abbreviation for the New York City Police Department’s 50th Precinct, which serves the northwest Bronx.
|
E876535
|
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: 50 Pct | Statement: [50th Precinct, abbreviation, 50 Pct]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 50 Pct Context triple: [50th Precinct, abbreviation, 50 Pct]
-
A.
50/50
50/50 is a 2011 dramedy film starring Joseph Gordon-Levitt and Seth Rogen that follows a young man's emotional and humorous journey after being diagnosed with cancer.
-
B.
69 Pct
69 Pct is the common shorthand for the New York City Police Department’s 69th Precinct, which serves the Canarsie neighborhood in Brooklyn.
-
C.
79 Pct
79 Pct is the common abbreviation for the New York City Police Department’s 79th Precinct, which serves parts of the Bedford-Stuyvesant neighborhood in Brooklyn.
-
D.
83 Pct
83 Pct is the common abbreviation for the New York City Police Department’s 83rd Precinct, which serves the Bushwick neighborhood in Brooklyn.
-
E.
C50
C50 is a popular model of Honda’s Super Cub series of small, fuel-efficient commuter motorcycles, known for their durability and widespread use worldwide.
- 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: 50 Pct Triple: [50th Precinct, abbreviation, 50 Pct]
Generated description
50 Pct is the common abbreviation for the New York City Police Department’s 50th Precinct, which serves the northwest Bronx.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 50 Pct Target entity description: 50 Pct is the common abbreviation for the New York City Police Department’s 50th Precinct, which serves the northwest Bronx.
-
A.
50/50
50/50 is a 2011 dramedy film starring Joseph Gordon-Levitt and Seth Rogen that follows a young man's emotional and humorous journey after being diagnosed with cancer.
-
B.
69 Pct
69 Pct is the common shorthand for the New York City Police Department’s 69th Precinct, which serves the Canarsie neighborhood in Brooklyn.
-
C.
79 Pct
79 Pct is the common abbreviation for the New York City Police Department’s 79th Precinct, which serves parts of the Bedford-Stuyvesant neighborhood in Brooklyn.
-
D.
83 Pct
83 Pct is the common abbreviation for the New York City Police Department’s 83rd Precinct, which serves the Bushwick neighborhood in Brooklyn.
-
E.
C50
C50 is a popular model of Honda’s Super Cub series of small, fuel-efficient commuter motorcycles, known for their durability and widespread use worldwide.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcd19648190882380d2c90be486 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bcd8c0c8190a0fad6a85b5604bb |
completed | April 10, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69d9701de92881908c0b8f05eae97e35 |
completed | April 10, 2026, 9:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d970f3f78081909bcb2dae6dae06d5 |
completed | April 10, 2026, 9:51 p.m. |
Created at: April 8, 2026, 9:04 p.m.