Triple

T8398065
Position Surface form Disambiguated ID Type / Status
Subject Sultan Azlan Shah Airport E198102 entity
Predicate IATAcode P418 FINISHED
Object IPH
IPH is the IATA airport code for Sultan Azlan Shah Airport serving Ipoh in the state of Perak, Malaysia.
 E730585 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: IPH | Statement: [Sultan Azlan Shah Airport, IATAcode, IPH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IPH
Context triple: [Sultan Azlan Shah Airport, IATAcode, IPH]
  • A. IPHAN
    IPHAN is Brazil’s federal agency responsible for preserving and protecting the nation’s cultural, historical, and artistic heritage.
  • B. IPHC
    IPHC is the commonly used abbreviation for Japan’s Intellectual Property High Court, a specialized court that handles intellectual property disputes.
  • C. IPS
    IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
  • D. IPS
    IPS is a professional society within the IEEE focused on the science and technology of light, including photonics and optoelectronics.
  • E. IPS
    IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
  • 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: IPH
Triple: [Sultan Azlan Shah Airport, IATAcode, IPH]
Generated description
IPH is the IATA airport code for Sultan Azlan Shah Airport serving Ipoh in the state of Perak, Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IPH
Target entity description: IPH is the IATA airport code for Sultan Azlan Shah Airport serving Ipoh in the state of Perak, Malaysia.
  • A. IPHAN
    IPHAN is Brazil’s federal agency responsible for preserving and protecting the nation’s cultural, historical, and artistic heritage.
  • B. IPHC
    IPHC is the commonly used abbreviation for Japan’s Intellectual Property High Court, a specialized court that handles intellectual property disputes.
  • C. IPS
    IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
  • D. IPS
    IPS is a professional society within the IEEE focused on the science and technology of light, including photonics and optoelectronics.
  • E. IPS
    IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb818a8dc081908efd5d7f910322e7 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde867d21c8190b066a6c88273ec5a completed April 2, 2026, 3:54 a.m.
NEDg Description generation batch_69cdebfd60188190a1681344e2bf1e9e completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded2fa42c8190bfbfc79caf38bf8e completed April 2, 2026, 4:14 a.m.
Created at: March 30, 2026, 6:04 p.m.