Triple
T18833086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simón Bolívar International Airport |
E460583
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SKSM
SKSM is the ICAO airport code for Simón Bolívar International Airport in Santa Marta, Colombia.
|
E1345867
|
NE FINISHED |
How this triple was built (4 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: SKSM | Statement: [Simón Bolívar International Airport, ICAOcode, SKSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKSM Context triple: [Simón Bolívar International Airport, ICAOcode, SKSM]
-
A.
SKMU
SKMU is the ICAO airport code for the main airport serving the town of Mitú in the Vaupés Department of Colombia.
-
B.
KSM
KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
-
C.
SKMD
SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
-
D.
KPSM
KPSM is the ICAO code for Portsmouth International Airport at Pease, a joint civil-military airport located in Portsmouth, New Hampshire, USA.
-
E.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SKSM Triple: [Simón Bolívar International Airport, ICAOcode, SKSM]
Generated description
SKSM is the ICAO airport code for Simón Bolívar International Airport in Santa Marta, Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKSM Target entity description: SKSM is the ICAO airport code for Simón Bolívar International Airport in Santa Marta, Colombia.
-
A.
SKMU
SKMU is the ICAO airport code for the main airport serving the town of Mitú in the Vaupés Department of Colombia.
-
B.
KSM
KSM is the commonly used acronym for Khalid Sheikh Mohammed, the alleged principal architect of the September 11, 2001 terrorist attacks.
-
C.
SKMD
SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
-
D.
KPSM
KPSM is the ICAO code for Portsmouth International Airport at Pease, a joint civil-military airport located in Portsmouth, New Hampshire, USA.
-
E.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676957848190bbc1998f4e36d11e |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056984d9d88190ab457cef689a5159 |
completed | May 14, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0569fd03f081908d217efa260f8938 |
completed | May 14, 2026, 6:21 a.m. |
Created at: April 10, 2026, 11:56 a.m.