Triple
T10608458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penske Media Corporation |
E275938
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
BGR
BGR is a technology and entertainment news website known for its coverage of consumer electronics, mobile devices, and digital culture.
|
E874227
|
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: BGR | Statement: [Penske Media Corporation, hasBrand, BGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGR Context triple: [Penske Media Corporation, hasBrand, BGR]
-
A.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
B.
BGR
BGR is the three-letter IATA airport code for Bangor International Airport in Bangor, Maine, United States.
-
C.
BRG
BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
-
D.
RYG
RYG is the IATA airport code for Moss Airport, Rygge, a former civil and military airport in southeastern Norway.
-
E.
KBGR
KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
- 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: BGR Triple: [Penske Media Corporation, hasBrand, BGR]
Generated description
BGR is a technology and entertainment news website known for its coverage of consumer electronics, mobile devices, and digital culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BGR Target entity description: BGR is a technology and entertainment news website known for its coverage of consumer electronics, mobile devices, and digital culture.
-
A.
BGR
BGR is the three-letter ISO 3166-1 alpha-3 country code assigned to Bulgaria.
-
B.
BGR
BGR is the three-letter IATA airport code for Bangor International Airport in Bangor, Maine, United States.
-
C.
BRG
BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
-
D.
RYG
RYG is the IATA airport code for Moss Airport, Rygge, a former civil and military airport in southeastern Norway.
-
E.
KBGR
KBGR is the ICAO airport code for Bangor International Airport, a public airport serving Bangor, Maine, in the United States.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ebe539881908aeff1cd65cf925f |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95f81955c8190b629d57a034a4b76 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d961047a78819088094e02c0b99f60 |
completed | April 10, 2026, 8:43 p.m. |
Created at: April 8, 2026, 7:32 p.m.