Triple
T13065998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upington |
E329324
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object |
UTN
UTN is the IATA airport code for Upington Airport, a regional airport serving the town of Upington in South Africa.
|
E1019135
|
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: UTN | Statement: [Upington, airportIATA, UTN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UTN Context triple: [Upington, airportIATA, UTN]
-
A.
UNITEC
UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
-
B.
UdeA
UdeA is a major public research university in Medellín, Colombia, recognized for its academic excellence and cultural and scientific contributions to the region.
-
C.
Universidad Tecnológica de Santiago
Universidad Tecnológica de Santiago is a private higher education institution in the Dominican Republic known for offering a wide range of undergraduate and graduate programs, particularly in technology, health sciences, and business.
-
D.
UNNT
UNNT is the ICAO airport code for Tolmachevo Airport, the main international airport serving Novosibirsk in Russia.
-
E.
UniMás
UniMás is a U.S. Spanish-language broadcast television network owned by TelevisaUnivision that features sports, telenovelas, and entertainment programming.
- 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: UTN Triple: [Upington, airportIATA, UTN]
Generated description
UTN is the IATA airport code for Upington Airport, a regional airport serving the town of Upington in South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UTN Target entity description: UTN is the IATA airport code for Upington Airport, a regional airport serving the town of Upington in South Africa.
-
A.
UNITEC
UNITEC is a private Honduran university known for its technology-focused academic programs and modern, industry-oriented education.
-
B.
UdeA
UdeA is a major public research university in Medellín, Colombia, recognized for its academic excellence and cultural and scientific contributions to the region.
-
C.
Universidad Tecnológica de Santiago
Universidad Tecnológica de Santiago is a private higher education institution in the Dominican Republic known for offering a wide range of undergraduate and graduate programs, particularly in technology, health sciences, and business.
-
D.
UNNT
UNNT is the ICAO airport code for Tolmachevo Airport, the main international airport serving Novosibirsk in Russia.
-
E.
UniMás
UniMás is a U.S. Spanish-language broadcast television network owned by TelevisaUnivision that features sports, telenovelas, and entertainment programming.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6d039254881909927b58225f194de |
completed | May 3, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d0d218d4819080273a151a0890d3 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 9, 2026, 8:59 p.m.