Triple

T14404605
Position Surface form Disambiguated ID Type / Status
Subject Penarth railway station E357163 entity
Predicate hasStationCode P1289 FINISHED
Object PEN
PEN is the National Rail station code for Penarth railway station in the Vale of Glamorgan, Wales.
 E1097535 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: [Penarth railway station, hasStationCode, PEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEN
Context triple: [Penarth railway station, hasStationCode, PEN]
  • 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 the three-letter IATA airport code for Penang International Airport in Malaysia.
  • D. Pen
    Pen is a town in Maharashtra, India, known for its traditional Ganesh idol-making industry and cultural heritage.
  • E. 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.
  • 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: [Penarth railway station, hasStationCode, PEN]
Generated description
PEN is the National Rail station code for Penarth railway station in the Vale of Glamorgan, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEN
Target entity description: PEN is the National Rail station code for Penarth railway station in the Vale of Glamorgan, Wales.
  • 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 the three-letter IATA airport code for Penang International Airport in Malaysia.
  • D. Pen
    Pen is a town in Maharashtra, India, known for its traditional Ganesh idol-making industry and cultural heritage.
  • E. 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.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90860ae481908e175decda8624d5 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5523267081908d972b60b6039528 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.