Triple
T17334440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BEA |
E420898
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | BEA |
E3570
|
NE FINISHED |
How this triple was built (2 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: BEA | Statement: [BEA, shortName, BEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEA Context triple: [BEA, shortName, BEA]
-
A.
BEA
BEA is the abbreviation commonly used for the British Electricity Authority, the former nationalized body responsible for electricity generation and transmission in post-war Britain.
-
B.
BEA
chosen
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
C.
BEA
BEA is the French Bureau of Enquiry and Analysis for Civil Aviation Safety, the government agency responsible for investigating civil aviation accidents and incidents.
-
D.
BEA
BEA was the acronym for British European Airways, a former UK state-owned airline that operated primarily short- and medium-haul routes across Europe before merging into British Airways.
-
E.
BEA
BEA is the abbreviation for the British Esperanto Association, an organization that promotes the use and study of the international language Esperanto in the United Kingdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5205088190aa724873c6296b1e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.