Triple
T18833085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simón Bolívar International Airport |
E460583
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | SMR |
—
|
NE NERFINISHED |
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: SMR | Statement: [Simón Bolívar International Airport, IATAcode, SMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMR Context triple: [Simón Bolívar International Airport, IATAcode, SMR]
-
A.
SMR
chosen
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
-
B.
SMRMC
SMRMC is a regional healthcare facility serving the Southwest Mississippi area with a range of medical services.
-
C.
SM
SM is the vehicle registration code assigned to the German town of Meiningen and its surrounding district.
-
D.
SM
SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
-
E.
SM
SM is a UK postcode area in southwest London and northern Surrey, covering towns such as Sutton, Cheam, and Carshalton.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99b540c8190a29e5f9d56791d41 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.