Triple

T18579691
Position Surface form Disambiguated ID Type / Status
Subject Doncaster railway station E454076 entity
Predicate stationCode P1289 FINISHED
Object DON
DON is the National Rail station code for Doncaster railway station in South Yorkshire, England.
E1331786 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: DON | Statement: [Doncaster railway station, stationCode, DON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DON
Context triple: [Doncaster railway station, stationCode, DON]
  • A. DON
    DON is the vehicle registration code used on license plates for vehicles registered in the Donauwörth area of Germany.
  • B. DON
    DON is the Seattle Department of Neighborhoods, a city agency that works to engage residents, strengthen communities, and support neighborhood-based initiatives.
  • C. Dani
    Dani is a fictional character played by actress Adria Arjona, known from her role in the fantasy-romance film "Emerald City" and other screen appearances.
  • D. Dani
    The Dani are an indigenous ethnic group of the central highlands of Papua, Indonesia, known for their distinctive traditional dress, terraced agriculture, and complex ritual practices.
  • E. Dani
    Dani is an actor who appears in the film "Day for Night," a classic French movie directed by François Truffaut.
  • 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: DON
Triple: [Doncaster railway station, stationCode, DON]
Generated description
DON is the National Rail station code for Doncaster railway station in South Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DON
Target entity description: DON is the National Rail station code for Doncaster railway station in South Yorkshire, England.
  • A. DON
    DON is the vehicle registration code used on license plates for vehicles registered in the Donauwörth area of Germany.
  • B. DON
    DON is the Seattle Department of Neighborhoods, a city agency that works to engage residents, strengthen communities, and support neighborhood-based initiatives.
  • C. Dani
    Dani is a recurring character on the TV series "Glee," portrayed by Demi Lovato as a love interest of Santana Lopez and a fellow performer at the New York diner.
  • D. Dani
    Dani is the given name of Dani Rodrik, a prominent Turkish economist known for his work on globalization and economic development.
  • E. Dani
    Dani is an actor who appears in the film "Day for Night," a classic French movie directed by François Truffaut.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543ce63188190b14a37c5ca9c2726 completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f88cb7c881909911b2c28a72fcf6 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f9fc493881909ba9159748d4f3fb completed May 13, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_6a04fad8daa88190961d643d30a52aa7 completed May 13, 2026, 10:27 p.m.
Created at: April 10, 2026, 11:43 a.m.