Triple
T22327277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belize City Municipal Airport |
E551931
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | TZA |
E551931
|
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: TZA | Statement: [Belize City Municipal Airport, hasIATACode, TZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TZA Context triple: [Belize City Municipal Airport, hasIATACode, TZA]
-
A.
TZA
chosen
TZA is the IATA airport code for Belize City Municipal Airport, a domestic airport serving Belize City in Belize.
-
B.
Tiszanána
Tiszanána is a village in northern Hungary known for its proximity to the Tisza River and recreational areas around Lake Tisza.
-
C.
Tansaniaweg
Tansaniaweg is a street in Berlin’s Afrikanisches Viertel, named in reference to the East African country Tanzania and its historical connections to Germany.
-
D.
Zimba
Zimba is a prominent and jagged limestone mountain peak in the Rätikon range of the Alps, popular with climbers for its striking horn-like shape.
-
E.
Wedza
Wedza is a rural district and township in northeastern Zimbabwe known for its agriculture and gold deposits.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157693460819087c165481eb9e128 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad520b1c081908fd6de0de24e2d87 |
completed | May 18, 2026, 9 a.m. |
Created at: April 16, 2026, 8:42 p.m.