Triple
T10432707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makokou |
E245955
|
entity |
| Predicate | airportIATACode |
P418
|
FINISHED |
| Object | MKU |
E561002
|
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: MKU | Statement: [Makokou, airportIATACode, MKU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MKU Context triple: [Makokou, airportIATACode, MKU]
-
A.
MKU
MKU is a public state university in Madurai, Tamil Nadu, India, known for its wide range of undergraduate, postgraduate, and research programs across arts, science, commerce, and management.
-
B.
M-K
M-K is the commonly used abbreviation for Morrison-Knudsen, a major American engineering and construction company known for large-scale infrastructure projects.
-
C.
Mkuze
chosen
Mkuze is a small town in northern KwaZulu-Natal, South Africa, known as a gateway to nearby game reserves and wetlands.
-
D.
MKA
MKA is a structural and civil engineering firm known for designing high-rise and complex buildings worldwide.
-
E.
MUCU
MUCU is the ICAO airport code for Antonio Maceo International Airport in Santiago de Cuba, Cuba.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea64f12c81909861d0d5165da2a2 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eb8c70481909b9320af15f2b5e9 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:13 p.m.