Triple
T10431207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Forces Post Office |
E245916
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
BFPO
BFPO is the postal service that handles mail for members of the British Armed Forces and associated personnel stationed in the UK and overseas.
|
E863836
|
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: BFPO | Statement: [British Forces Post Office, hasAbbreviation, BFPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BFPO Context triple: [British Forces Post Office, hasAbbreviation, BFPO]
-
A.
FPO
FPO is the commonly used abbreviation for the Orinoco Petroleum Belt, a vast oil-rich region in Venezuela containing some of the world’s largest extra-heavy crude reserves.
-
B.
FPO
FPO is the IATA airport code for Grand Bahama International Airport, serving Freeport in the Bahamas.
-
C.
BFP
BFP is the three-letter IATA airport code assigned to Beaver County Airport in Pennsylvania, United States.
-
D.
BFU
BFU is the commonly used abbreviation for Burgas Free University, a higher education institution located in Burgas, Bulgaria.
-
E.
BF
BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
- 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: BFPO Triple: [British Forces Post Office, hasAbbreviation, BFPO]
Generated description
BFPO is the postal service that handles mail for members of the British Armed Forces and associated personnel stationed in the UK and overseas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BFPO Target entity description: BFPO is the postal service that handles mail for members of the British Armed Forces and associated personnel stationed in the UK and overseas.
-
A.
FPO
FPO is the IATA airport code for Grand Bahama International Airport, serving Freeport in the Bahamas.
-
B.
FPO
FPO is the commonly used abbreviation for the Orinoco Petroleum Belt, a vast oil-rich region in Venezuela containing some of the world’s largest extra-heavy crude reserves.
-
C.
BFP
BFP is the three-letter IATA airport code assigned to Beaver County Airport in Pennsylvania, United States.
-
D.
BFU
BFU is the commonly used abbreviation for Burgas Free University, a higher education institution located in Burgas, Bulgaria.
-
E.
BF
BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea63f03c81908331655241102725 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb068bc8190be9c7c916850278e |
completed | April 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69d889c45b588190ad103b4bc8cc5fbd |
completed | April 10, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:13 p.m.