Triple
T1867851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald R. Ford International Airport |
E34963
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | GRR |
E207818
|
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: GRR | Statement: [Gerald R. Ford International Airport, FAAcode, GRR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRR Context triple: [Gerald R. Ford International Airport, FAAcode, GRR]
-
A.
GRR
chosen
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
B.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
C.
GG
GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
-
D.
GG
GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
-
E.
Gro
Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0b6ac108190921c197abc5ab5b5 |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf5163d88190a41df4c8f4e196f0 |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:34 p.m.