Triple

T13238822
Position Surface form Disambiguated ID Type / Status
Subject City of Blue Mountains E315223 entity
Predicate contains P35 FINISHED
Object Linden
Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
 E1028917 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: Linden | Statement: [City of Blue Mountains, contains, Linden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linden
Context triple: [City of Blue Mountains, contains, Linden]
  • A. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • B. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • C. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • D. Linden
    Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
  • E. Linden
    Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
  • 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: Linden
Triple: [City of Blue Mountains, contains, Linden]
Generated description
Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linden
Target entity description: Linden is a small village in the City of Blue Mountains in New South Wales, Australia, known for its bushland setting and proximity to scenic mountain lookouts and walking tracks.
  • A. Linden
    Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
  • B. Linden
    Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
  • C. Linden
    Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
  • D. Linden
    Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
  • E. Linden
    Linden is a major town in central Guyana known for its bauxite mining industry and location along the Demerara River.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:23 p.m.