Triple
T16870984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Puerto Rico |
E421163
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
D.P.R.
D.P.R. is the standard legal abbreviation for the United States District Court for the District of Puerto Rico.
|
E1238440
|
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: D.P.R. | Statement: [District of Puerto Rico, hasAbbreviation, D.P.R.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D.P.R. Context triple: [District of Puerto Rico, hasAbbreviation, D.P.R.]
-
A.
DPR
DPR is the commonly used abbreviation for the California Department of Pesticide Regulation, the state agency responsible for overseeing pesticide sales and use to protect public health and the environment.
-
B.
DPR
DPR is the commonly used abbreviation for Indonesia’s national legislature, the People's Representative Council.
-
C.
DPR
DPR is the government agency responsible for managing and operating public parks, recreational facilities, and community programs in Washington, D.C.
-
D.
DPK
DPK (Dual Purpose Kerosene) is a refined petroleum product commonly used as both household cooking and lighting fuel and, in some formulations, as aviation turbine fuel.
-
E.
DPK
DPK is the station code for Deer Park railway station, a commuter rail stop on Long Island, New York.
- 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: D.P.R. Triple: [District of Puerto Rico, hasAbbreviation, D.P.R.]
Generated description
D.P.R. is the standard legal abbreviation for the United States District Court for the District of Puerto Rico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D.P.R. Target entity description: D.P.R. is the standard legal abbreviation for the United States District Court for the District of Puerto Rico.
-
A.
DPR
DPR is the commonly used abbreviation for the California Department of Pesticide Regulation, the state agency responsible for overseeing pesticide sales and use to protect public health and the environment.
-
B.
DPR
DPR is the commonly used abbreviation for Indonesia’s national legislature, the People's Representative Council.
-
C.
DPR
DPR is the government agency responsible for managing and operating public parks, recreational facilities, and community programs in Washington, D.C.
-
D.
DPK
DPK (Dual Purpose Kerosene) is a refined petroleum product commonly used as both household cooking and lighting fuel and, in some formulations, as aviation turbine fuel.
-
E.
DPK
DPK is the station code for Deer Park railway station, a commuter rail stop on Long Island, New York.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f1fe5881909b18438d771814e9 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aeb9908190964a9403402186fb |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c3c25e9481908327bb6646212368 |
completed | May 10, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c44e37b48190a62b315ddbbd4ec4 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.