Triple
T5848616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 737 MAX 8 |
E129772
|
entity |
| Predicate | regulator |
P46
|
FINISHED |
| Object | FAA |
E3509
|
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: FAA | Statement: [Boeing 737 MAX 8, regulator, FAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAA Context triple: [Boeing 737 MAX 8, regulator, FAA]
-
A.
FAA
The FISA Amendments Act of 2008 (FAA) is a U.S. federal law that updated and expanded government surveillance authorities under the Foreign Intelligence Surveillance Act, particularly for monitoring communications of non-U.S. persons abroad.
-
B.
FAA
The FAA is the national military aviation branch of Argentina responsible for aerial defense and air operations.
-
C.
FAA
The Foreign Assistance Act of 1961 (FAA) is a landmark U.S. law that reorganized and governs most American foreign aid and development assistance programs.
-
D.
FAA
FAA is the commonly used abbreviation for the College of Fine and Applied Arts, an academic unit focused on disciplines such as visual arts, design, and performance.
-
E.
Federal Aviation Administration
chosen
The Federal Aviation Administration is the U.S. government agency responsible for regulating and overseeing all aspects of civil aviation safety and operations.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035145a0c8190941945a83a3f2416 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfd6cffc8190b65252f02055e89c |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:55 p.m.