Triple
T8622309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutaisi International Airport |
E204196
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kutaisi |
E7705
|
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: Kutaisi | Statement: [Kutaisi International Airport, locatedIn, Kutaisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kutaisi Context triple: [Kutaisi International Airport, locatedIn, Kutaisi]
-
A.
Kutaisi
chosen
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
-
B.
Kuje
Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
-
C.
Kuta
Kuta is a popular beach resort town in southern Bali, Indonesia, known for its surfing waves, vibrant nightlife, and dense concentration of hotels, shops, and restaurants.
-
D.
Kehama
Kehama is the powerful and tyrannical sorcerer-rajah who serves as the central antagonist in Robert Southey’s epic poem "The Curse of Kehama."
-
E.
Kouloukonas
Kouloukonas is a mountain range in the Rethymno region of Crete, Greece, known for its rugged terrain and traditional Cretan landscapes.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4717f0e88190aaf0fd45bf726941 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbdd6aac819091f6dd12815c3d94 |
completed | April 2, 2026, 6:56 p.m. |
Created at: March 30, 2026, 6:26 p.m.