Triple
T9215686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tocumen International Airport |
E221235
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | MPTO |
E221236
|
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: MPTO | Statement: [Tocumen International Airport, ICAO code, MPTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPTO Context triple: [Tocumen International Airport, ICAO code, MPTO]
-
A.
MPTO
chosen
MPTO is the ICAO airport code for Tocumen International Airport, the main international gateway serving Panama City, Panama.
-
B.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
C.
MTO
MTO is the provincial government ministry responsible for transportation infrastructure, policy, and services in Ontario, Canada.
-
D.
MTO
MTO is the National Rail station code for Marton railway station in Middlesbrough, England.
-
E.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0830a8819096a186ed2e976cba |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.