Triple
T3341481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajiv Gandhi International Airport |
E70269
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
VOHS
VOHS is the ICAO airport code for Rajiv Gandhi International Airport serving Hyderabad, India.
|
E349873
|
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: VOHS | Statement: [Rajiv Gandhi International Airport, ICAOcode, VOHS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOHS Context triple: [Rajiv Gandhi International Airport, ICAOcode, VOHS]
-
A.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
B.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
C.
VOI
VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
-
D.
SHVO
SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- 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: VOHS Triple: [Rajiv Gandhi International Airport, ICAOcode, VOHS]
Generated description
VOHS is the ICAO airport code for Rajiv Gandhi International Airport serving Hyderabad, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VOHS Target entity description: VOHS is the ICAO airport code for Rajiv Gandhi International Airport serving Hyderabad, India.
-
A.
VOG
VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
-
B.
VOW
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
C.
VOI
VOI is the ICAO airline designator used to identify Volaris, a Mexican low-cost carrier, in aviation operations and communications.
-
D.
SHVO
SHVO is a New York–based real estate investment and development firm known for acquiring and redeveloping high-profile luxury and landmark properties.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1c0ae44819091c851569eaf4565 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a946ba88190bd40ba7481baf28d |
completed | March 12, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69b31c3aaba48190b203e344d71080f3 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da28a04819096e7ced5f123592a |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:12 p.m.