Triple

T2939696
Position Surface form Disambiguated ID Type / Status
Subject Grey Mare’s Tail E79354 entity
Predicate watercourse P415 FINISHED
Object Tail Burn
Tail Burn is a stream in southern Scotland that flows through the Grey Mare’s Tail waterfall and its surrounding valley.
 E311237 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: Tail Burn | Statement: [Grey Mare’s Tail, watercourse, Tail Burn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tail Burn
Context triple: [Grey Mare’s Tail, watercourse, Tail Burn]
  • A. Burns
    Burns is a common Scottish surname most famously associated with the poet Robert Burns.
  • B. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • C. Burn
    "Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
  • D. Burn
    Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
  • E. Ya Burnt
    "Ya Burnt" is a recurring comedic rant segment on Late Night with Seth Meyers in which Meyers humorously calls out and "burns" various topics, trends, and public figures.
  • 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: Tail Burn
Triple: [Grey Mare’s Tail, watercourse, Tail Burn]
Generated description
Tail Burn is a stream in southern Scotland that flows through the Grey Mare’s Tail waterfall and its surrounding valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tail Burn
Target entity description: Tail Burn is a stream in southern Scotland that flows through the Grey Mare’s Tail waterfall and its surrounding valley.
  • A. Burns
    Burns is a common Scottish surname most famously associated with the poet Robert Burns.
  • B. Burn
    Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
  • C. Burn
    "Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
  • D. Burn
    Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
  • E. Ya Burnt
    "Ya Burnt" is a recurring comedic rant segment on Late Night with Seth Meyers in which Meyers humorously calls out and "burns" various topics, trends, and public figures.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08686b0388190a214ad8a615f2da5 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d312b82c81908abbb005560b89a0 completed March 11, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b0d392b8cc8190804a1bf06785d7d0 completed March 11, 2026, 2:29 a.m.
Created at: March 8, 2026, 2:56 p.m.