Triple
T3197693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chennai International Airport |
E66972
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VOMM
VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
|
E336765
|
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: VOMM | Statement: [Chennai International Airport, ICAOcode, VOMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOMM Context triple: [Chennai International Airport, ICAOcode, VOMM]
-
A.
Vomag
Vomag was a German vehicle manufacturer best known for producing military trucks and armored vehicles, including variants of the Panzer IV, during the World War II era.
-
B.
vamkok
Vamkok is a traditional garment worn by the Karbi people of Northeast India, reflecting their cultural identity and heritage.
-
C.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
D.
VEMN
VEMN is the ICAO airport code assigned to Dibrugarh Airport in Assam, India.
-
E.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
- 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: VOMM Triple: [Chennai International Airport, ICAOcode, VOMM]
Generated description
VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VOMM Target entity description: VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
-
A.
Vomag
Vomag was a German vehicle manufacturer best known for producing military trucks and armored vehicles, including variants of the Panzer IV, during the World War II era.
-
B.
vamkok
Vamkok is a traditional garment worn by the Karbi people of Northeast India, reflecting their cultural identity and heritage.
-
C.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
D.
VEMN
VEMN is the ICAO airport code assigned to Dibrugarh Airport in Assam, India.
-
E.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7192994819084817307065a25e2 |
completed | March 8, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bb7cd488190ae95c140d9cda296 |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24d39e77c8190818f71a3298852d7 |
completed | March 12, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b25178f3c08190be78bdbd0cdfc5f3 |
completed | March 12, 2026, 5:39 a.m. |
Created at: March 8, 2026, 3:07 p.m.