Triple

T9619182
Position Surface form Disambiguated ID Type / Status
Subject Shillong Airport E232296 entity
Predicate hasICAOcode P419 FINISHED
Object VEBI
VEBI is the ICAO airport code for Shillong Airport, a domestic airport serving the city of Shillong in the Indian state of Meghalaya.
 E810128 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: VEBI | Statement: [Shillong Airport, hasICAOcode, VEBI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VEBI
Context triple: [Shillong Airport, hasICAOcode, VEBI]
  • A. EBI
    EBI is a scoring system used to evaluate and rank conservation practices and land enrollment proposals based on their environmental benefits.
  • B. VIBN
    VIBN is the ICAO airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • C. VEIM
    VEIM is the ICAO airport code for Imphal International Airport, the main air gateway to the Indian state of Manipur.
  • D. VIBK
    VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
  • E. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • 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: VEBI
Triple: [Shillong Airport, hasICAOcode, VEBI]
Generated description
VEBI is the ICAO airport code for Shillong Airport, a domestic airport serving the city of Shillong in the Indian state of Meghalaya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VEBI
Target entity description: VEBI is the ICAO airport code for Shillong Airport, a domestic airport serving the city of Shillong in the Indian state of Meghalaya.
  • A. EBI
    EBI is a scoring system used to evaluate and rank conservation practices and land enrollment proposals based on their environmental benefits.
  • B. VIBN
    VIBN is the ICAO airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • C. VEIM
    VEIM is the ICAO airport code for Imphal International Airport, the main air gateway to the Indian state of Manipur.
  • D. VIBK
    VIBK is the ICAO airport code for Nal Airport, a regional airfield serving the Bikaner area in Rajasthan, India.
  • E. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ab0a15481908945b50c622b71b9 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1796ced5c8190a3f275e03b481a96 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a5df01081909f20c4a722cef83d completed April 4, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69d17adb55648190b01060ade60b0fde completed April 4, 2026, 8:55 p.m.
Created at: March 30, 2026, 8:09 p.m.