Triple
T5236823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanpur Airport |
E118239
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
VIKA
VIKA is the ICAO airport code assigned to Kanpur Airport in Uttar Pradesh, India.
|
E504515
|
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: 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.
Vica
Vica is a diminutive or nickname commonly used for the given name Ludovica.
-
B.
Vik
Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
-
C.
Marija
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
-
D.
ViVa
"ViVa" is a 1931 poetry collection by E. E. Cummings that showcases his experimental style, typographical play, and unconventional use of language.
-
E.
Vahni
Vahni is a Sanskrit epithet of the Vedic fire god Agni, emphasizing his blazing, consuming aspect as sacred fire.
- 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: VIKA Triple: [Kanpur Airport, hasICAOcode, VIKA]
Generated description
VIKA is the ICAO airport code assigned to Kanpur Airport in Uttar Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VIKA Target entity description: VIKA is the ICAO airport code assigned to Kanpur Airport in Uttar Pradesh, India.
-
A.
Vica
Vica is a diminutive or nickname commonly used for the given name Ludovica.
-
B.
Vik
Vik is a municipality in Vestland county, Norway, known for its scenic fjord landscapes, historic stave church, and traditional rural communities.
-
C.
Marija
Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
-
D.
ViVa
"ViVa" is a 1931 poetry collection by E. E. Cummings that showcases his experimental style, typographical play, and unconventional use of language.
-
E.
Vahni
Vahni is a Sanskrit epithet of the Vedic fire god Agni, emphasizing his blazing, consuming aspect as sacred fire.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef820285881909f0e569e020a58ae |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8acecf48190a1d3f56640bf7784 |
completed | March 21, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef92017948190906d1be3551b54c2 |
completed | March 21, 2026, 8:01 p.m. |
Created at: March 20, 2026, 1:49 p.m.