Triple
T17039796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Bishop International Airport |
E413414
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | GND |
E589246
|
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: GND | Statement: [Maurice Bishop International Airport, IATAcode, GND]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GND Context triple: [Maurice Bishop International Airport, IATAcode, GND]
-
A.
GND
chosen
GND is the IATA airport code for Maurice Bishop International Airport, the main international gateway to Grenada in the Caribbean.
-
B.
GND
GND is a standardized authority file system used in German-speaking countries to uniquely identify and organize information about persons, organizations, works, and subjects in library and archival catalogs.
-
C.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
D.
GD
GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
-
E.
GD
GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f5844c819097eade4a2b42ab91 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5ceb048190a7f6cf2361360f90 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.