Triple
T7019378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Precision Air |
E162779
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
PRF
PRF is the ICAO airline designator for Precision Air, a Tanzanian regional airline based in Dar es Salaam.
|
E637682
|
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: PRF | Statement: [Precision Air, ICAOcode, PRF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRF Context triple: [Precision Air, ICAOcode, PRF]
-
A.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
B.
PIF
PIF is Saudi Arabia’s sovereign wealth fund, one of the world’s largest state-owned investment funds, financing major domestic and international projects to diversify the kingdom’s economy.
-
C.
PRA
PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
-
D.
PR
PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
-
E.
PFA
PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
- 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: PRF Triple: [Precision Air, ICAOcode, PRF]
Generated description
PRF is the ICAO airline designator for Precision Air, a Tanzanian regional airline based in Dar es Salaam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRF Target entity description: PRF is the ICAO airline designator for Precision Air, a Tanzanian regional airline based in Dar es Salaam.
-
A.
PIF
PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
-
B.
PIF
PIF is Saudi Arabia’s sovereign wealth fund, one of the world’s largest state-owned investment funds, financing major domestic and international projects to diversify the kingdom’s economy.
-
C.
PRA
PRA is the commonly used abbreviation for the Postal Reorganization Act of 1970, the U.S. federal law that transformed the Post Office Department into the United States Postal Service.
-
D.
PR
PR is the two-letter postal abbreviation commonly used to refer to Puerto Rico, a Caribbean island and unincorporated territory of the United States.
-
E.
PFA
PFA is a Danish pension fund that invests in large infrastructure projects such as offshore wind farms.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e8e36c81908c95a8181781cda4 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775707e30819088b311a1a87eee79 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c77c260d2c8190bb802ca8ce388a00 |
completed | March 28, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77c944bf081909335db68da464b4f |
completed | March 28, 2026, 7 a.m. |
Created at: March 27, 2026, 2:34 p.m.