Triple

T8034570
Position Surface form Disambiguated ID Type / Status
Subject River Till E187072 entity
Predicate confluenceNear P8203 FINISHED
Object Etal
Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
E708836 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: Etal | Statement: [River Till, confluenceNear, Etal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etal
Context triple: [River Till, confluenceNear, Etal]
  • A. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • B. The Ear
    The Ear is a distinctive rock formation on El Capitan in Yosemite National Park, serving as a notable feature along the Salathé Wall climbing route.
  • C. Scooch
    Scooch is the costumed mascot character for the Syracuse Mets minor league baseball team, entertaining fans at games and team events.
  • D. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • E. Touchstone
    Touchstone is the witty and sharp-tongued court jester in Shakespeare’s comedy "As You Like It," known for his clever wordplay and satirical commentary.
  • 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: Etal
Triple: [River Till, confluenceNear, Etal]
Generated description
Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Etal
Target entity description: Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
  • A. The Esses
    The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
  • B. The Ear
    The Ear is a distinctive rock formation on El Capitan in Yosemite National Park, serving as a notable feature along the Salathé Wall climbing route.
  • C. Scooch
    Scooch is the costumed mascot character for the Syracuse Mets minor league baseball team, entertaining fans at games and team events.
  • D. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • E. Touchstone
    Touchstone is the witty and sharp-tongued court jester in Shakespeare’s comedy "As You Like It," known for his clever wordplay and satirical commentary.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef50f4c8190a895ac301f182734 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56f493908190b68e791cdbe725fa completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc5ca6efbc819082f4c643446da354 completed March 31, 2026, 11:45 p.m.
NED2 Entity disambiguation (via description) batch_69cc5d6d93f08190b17d6c7a4fad2cf0 completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 5:22 p.m.