Triple
T16131862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadi International Airport |
E391417
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | NAN |
E347660
|
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: NAN | Statement: [Nadi International Airport, IATAcode, NAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAN Context triple: [Nadi International Airport, IATAcode, NAN]
-
A.
NAN
chosen
NAN is the three-letter IATA airport code for Nadi International Airport in Fiji.
-
B.
nan
nan is the ISO 639-3 language code assigned to the Teochew (Chaoshan) Chinese language variety spoken primarily in eastern Guangdong, China, and among overseas Chinese communities.
-
C.
NA
NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
-
D.
NA
The NA is the land warfare branch and largest component of the Nigerian Armed Forces, responsible for ground military operations and national defense.
-
E.
NA
NA is the commonly used abbreviation for the National Assembly of Laos, the country's unicameral legislative body.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.