Triple
T5882949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYPD 79th Precinct |
E130792
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
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.
|
E553071
|
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: 79 Pct | Statement: [NYPD 79th Precinct, hasAbbreviation, 79 Pct]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 79 Pct Context triple: [NYPD 79th Precinct, hasAbbreviation, 79 Pct]
-
A.
PT-796
PT-796 is a preserved World War II-era U.S. Navy patrol torpedo boat on display as a museum vessel at Battleship Cove in Massachusetts.
-
B.
PZB
PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
-
C.
P80
P80 is a solid-fuel first-stage rocket motor used on the European Vega small-lift launch vehicle.
-
D.
PFA
PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
-
E.
PFA
PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
- 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: 79 Pct Triple: [NYPD 79th Precinct, hasAbbreviation, 79 Pct]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 79 Pct Target entity description: 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.
-
A.
PT-796
PT-796 is a preserved World War II-era U.S. Navy patrol torpedo boat on display as a museum vessel at Battleship Cove in Massachusetts.
-
B.
PZB
PZB is a German train protection system that automatically supervises train speeds and signal observance to prevent accidents such as passing signals at danger.
-
C.
P80
P80 is a solid-fuel first-stage rocket motor used on the European Vega small-lift launch vehicle.
-
D.
PFA
PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
-
E.
PFA
PFA is the Professional Footballers' Association, the trade union and representative body for professional footballers in England and Wales.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03675747c81908936405c27c2719b |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13330c88190b10f33843f10f51f |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2442bf881908aeaecb46463e32d |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2bc8b9c8190ab642d317056b1de |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:57 p.m.