Triple

T20860969
Position Surface form Disambiguated ID Type / Status
Subject Redruth railway station E513615 entity
Predicate hasStationCode P1289 FINISHED
Object RED
RED is the National Rail station code for Redruth railway station in Cornwall, England.
E1454209 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: RED | Statement: [Redruth railway station, hasStationCode, RED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RED
Context triple: [Redruth railway station, hasStationCode, RED]
  • A. RED
    RED (Random Early Detection) is an active queue management algorithm used in networking to preemptively drop packets and control congestion before router buffers overflow.
  • B. RED
    RED is a 2010 action-comedy film about retired black-ops agents who reunite to uncover a conspiracy, known for its ensemble cast including Helen Mirren and Bruce Willis.
  • C. Red
    Red is Virgin America’s signature in-flight entertainment system, offering passengers on-demand movies, TV, music, games, and other interactive services.
  • D. Red
    "Red" is a song featured on the album *Careful Confessions* by singer-songwriter Sara Bareilles.
  • E. Red
    Red is the short-tempered, red-feathered bird who serves as the central protagonist of the Angry Birds franchise and its film adaptations.
  • 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: RED
Triple: [Redruth railway station, hasStationCode, RED]
Generated description
RED is the National Rail station code for Redruth railway station in Cornwall, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RED
Target entity description: RED is the National Rail station code for Redruth railway station in Cornwall, England.
  • A. RED
    RED (Random Early Detection) is an active queue management algorithm used in networking to preemptively drop packets and control congestion before router buffers overflow.
  • B. RED
    RED is a 2010 action-comedy film about retired black-ops agents who reunite to uncover a conspiracy, known for its ensemble cast including Helen Mirren and Bruce Willis.
  • C. Red
    Red is the short-tempered, red-feathered bird who serves as the central protagonist of the Angry Birds franchise and its film adaptations.
  • D. Red
    Red is the nickname of William L. "Red" Whittaker, a pioneering American roboticist known for his work in field robotics and autonomous vehicles.
  • E. Red
    Red is the tough, sharp-tongued Russian matriarch and prison cook from the television series "Orange Is the New Black."
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3aba3d0819093431f38f0095a71 completed April 21, 2026, 12:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b0f5c088190a2db09ce9ecbfcc3 completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090bc252dc8190a96a98b2160826b5 completed May 17, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_6a090cc818b4819089ed588d3e460aa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:44 p.m.