Triple

T11450186
Position Surface form Disambiguated ID Type / Status
Subject Penang International Airport E271373 entity
Predicate IATAcode P418 FINISHED
Object PEN
PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
 E926580 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: PEN | Statement: [Penang International Airport, IATAcode, PEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEN
Context triple: [Penang International Airport, IATAcode, PEN]
  • A. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • B. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • C. Pen
    Pen is a town in Maharashtra, India, known for its traditional Ganesh idol-making industry and cultural heritage.
  • D. The Pen
    The Pen is the English title of Surah Al-Qalam, a chapter of the Qur’an that emphasizes the importance of moral character, divine wisdom, and the prophetic mission.
  • E. The Pen
    The Pen is the professional nickname of Sean Garrett, a prominent American songwriter and producer known for crafting numerous chart-topping R&B and hip-hop hits.
  • 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: PEN
Triple: [Penang International Airport, IATAcode, PEN]
Generated description
PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEN
Target entity description: PEN is the three-letter IATA airport code for Penang International Airport in Malaysia.
  • A. PEN
    PEN is the Peruvian sol, the official national currency of Peru.
  • B. PEN
    PEN is an international writers’ organization dedicated to promoting literature and defending freedom of expression worldwide.
  • C. Pen
    Pen is a town in Maharashtra, India, known for its traditional Ganesh idol-making industry and cultural heritage.
  • D. The Pen
    The Pen is the English title of Surah Al-Qalam, a chapter of the Qur’an that emphasizes the importance of moral character, divine wisdom, and the prophetic mission.
  • E. The Pen
    The Pen is the professional nickname of Sean Garrett, a prominent American songwriter and producer known for crafting numerous chart-topping R&B and hip-hop hits.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6e496c8190b0a1919c29d4ee60 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3cb63408190a96b97f716d46082 completed April 20, 2026, 7:20 a.m.
NEDg Description generation batch_69e5d7e46e248190aba139dc32185e2f completed April 20, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_69e5e192297c8190992578f734e63427 completed April 20, 2026, 8:19 a.m.
Created at: April 8, 2026, 9:35 p.m.