Triple
T20547730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanpur Airport |
E504515
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | VIKA |
—
|
NE NERFINISHED |
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: VIKA | Statement: [Kanpur Airport, hasICAOCode, VIKA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VIKA Context triple: [Kanpur Airport, hasICAOCode, VIKA]
-
A.
VIKA
chosen
VIKA is the ICAO airport code assigned to Kanpur Airport in Uttar Pradesh, India.
-
B.
Vika
Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
-
C.
VIKI
VIKI is the central artificial intelligence system and primary antagonist in the science fiction film "I, Robot," overseeing and controlling robots under a rigid interpretation of the Three Laws of Robotics.
-
D.
Vica
Vica is a diminutive or nickname commonly used for the given name Ludovica.
-
E.
Viktoh
Viktoh is a Nigerian musician and recording artist known for his work in the Afrobeats and street-hop scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
Created at: April 16, 2026, 11:38 a.m.