Triple
T7761303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte–Monroe Executive Airport |
E176026
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object | EQY |
E687968
|
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: EQY | Statement: [Charlotte–Monroe Executive Airport, FAA LID, EQY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EQY Context triple: [Charlotte–Monroe Executive Airport, FAA LID, EQY]
-
A.
EQY
chosen
EQY is the IATA airport code for Charlotte–Monroe Executive Airport, a public airport serving the Monroe and greater Charlotte area in North Carolina, United States.
-
B.
EQE
EQE is a fully electric executive sedan from Mercedes-Benz’s EQ lineup, positioned as a mid-size luxury alternative to the traditional E-Class.
-
C.
EYKA
EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
-
D.
EQ
EQ is Mercedes-Benz’s dedicated sub-brand for electric vehicles and related technologies, representing the company’s push into premium, battery-powered mobility.
-
E.
EYD
EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704036c588190a441e56c738cc309 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6c8276c8190bdc3efc2a6175610 |
completed | March 29, 2026, 7:37 a.m. |
Created at: March 27, 2026, 4:09 p.m.