Triple
T7377546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 3 (Melbourne Airport) |
E170164
|
entity |
| Predicate | hasIATAAirportCode |
P2569
|
FINISHED |
| Object | MEL |
E158312
|
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: MEL | Statement: [Terminal 3 (Melbourne Airport), hasIATAAirportCode, MEL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEL Context triple: [Terminal 3 (Melbourne Airport), hasIATAAirportCode, MEL]
-
A.
MEL
chosen
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
-
B.
Mello
Mello is the official mascot character created for the 2007 ICC Cricket World Cup held in the West Indies.
-
C.
mello
mello is a digital-first mortgage and lending platform developed by loanDepot to streamline and modernize the home loan experience.
-
D.
Mel
Mel is a common diminutive form of the given name Carmelo.
-
E.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1aa12888190b81e37b9fcd2adc0 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d57ae88190840442621d8bef35 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.