Triple
T489314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgaria |
E9949
|
entity |
| Predicate | ISO3166-1Alpha2 |
P189
|
FINISHED |
| Object |
BG
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
|
E60824
|
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: BG | Statement: [Bulgaria, ISO3166-1Alpha2, BG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BG Context triple: [Bulgaria, ISO3166-1Alpha2, BG]
-
A.
BGN
BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
-
B.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
C.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
D.
BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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: BG Triple: [Bulgaria, ISO3166-1Alpha2, BG]
Generated description
BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BG Target entity description: BG is the two-letter ISO 3166-1 alpha-2 country code representing Bulgaria.
-
A.
BGN
BGN is the standard abbreviation for the U.S. Board on Geographic Names, the federal body that maintains uniform geographic name usage across the United States government.
-
B.
AG
AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
-
C.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
D.
BnG
BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
-
E.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e0a9648190b6a3b2da3a3b51e6 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474738bb881908e5d0ff6a17301e8 |
completed | March 1, 2026, 5:16 p.m. |
| NEDg | Description generation | batch_69a474dab57c8190918347a7a96c1536 |
completed | March 1, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a475694ee8819082a54c4dc218b8dd |
completed | March 1, 2026, 5:20 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.