Triple
T12876626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitú |
E307984
|
entity |
| Predicate | hasAirportICAO |
P419
|
FINISHED |
| Object |
SKMU
SKMU is the ICAO airport code for the main airport serving the town of Mitú in the Vaupés Department of Colombia.
|
E1006430
|
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: SKMU | Statement: [Mitú, hasAirportICAO, SKMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKMU Context triple: [Mitú, hasAirportICAO, SKMU]
-
A.
SKMD
SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
-
B.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
C.
SK
SK is the vehicle registration code for the district of Saalekreis in the German state of Saxony-Anhalt.
-
D.
SK
SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
-
E.
SK
SK is the official vehicle registration code assigned to the Indian state of Sikkim.
- 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: SKMU Triple: [Mitú, hasAirportICAO, SKMU]
Generated description
SKMU is the ICAO airport code for the main airport serving the town of Mitú in the Vaupés Department of Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKMU Target entity description: SKMU is the ICAO airport code for the main airport serving the town of Mitú in the Vaupés Department of Colombia.
-
A.
SKMD
SKMD is the ICAO airport code assigned to Olaya Herrera Airport in Medellín, Colombia.
-
B.
SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
-
C.
SK
SK is the IATA airline designator used worldwide to identify Scandinavian Airlines on tickets, timetables, and flight information systems.
-
D.
SK
SK is the ISO 3166-1 alpha-2 country code for Slovakia, a landlocked Central European nation known for its mountains, castles, and membership in the European Union.
-
E.
SK
SK is the vehicle registration code for the district of Saalekreis in the German state of Saxony-Anhalt.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f97f9c81908c75259a4cab1d3c |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69cc60c488190a5a71e25c075e9ff |
completed | May 3, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d845a9081909b40562825c1c500 |
completed | May 3, 2026, 12:57 a.m. |
Created at: April 9, 2026, 5:38 p.m.