Triple

T2680363
Position Surface form Disambiguated ID Type / Status
Subject Haute Randonnée Pyrénéenne E56557 entity
Predicate parallelTo P1868 FINISHED
Object GR 11
GR 11 is a long-distance hiking trail that traverses the Spanish side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
 E288739 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: GR 11 | Statement: [Haute Randonnée Pyrénéenne, parallelTo, GR 11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GR 11
Context triple: [Haute Randonnée Pyrénéenne, parallelTo, GR 11]
  • A. GR
    GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
  • B. GR
    GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
  • C. Ever Grade
    Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
  • D. HSC
    HSC is the abbreviation for the Harmonized System Committee, the international body responsible for overseeing and updating the Harmonized Commodity Description and Coding System used in global trade.
  • E. IB
    IB is a high-speed, low-latency computer networking and interconnect technology widely used in supercomputing and data centers.
  • 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: GR 11
Triple: [Haute Randonnée Pyrénéenne, parallelTo, GR 11]
Generated description
GR 11 is a long-distance hiking trail that traverses the Spanish side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GR 11
Target entity description: GR 11 is a long-distance hiking trail that traverses the Spanish side of the Pyrenees from the Atlantic Ocean to the Mediterranean Sea.
  • A. GR
    GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
  • B. GR
    GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
  • C. Ever Grade
    Ever Grade is a large container ship operated by Evergreen Marine and part of the same vessel class as the famously wedged Suez Canal ship Ever Given.
  • D. HSC
    HSC is the abbreviation for the Harmonized System Committee, the international body responsible for overseeing and updating the Harmonized Commodity Description and Coding System used in global trade.
  • E. IB
    IB is a high-speed, low-latency computer networking and interconnect technology widely used in supercomputing and data centers.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d36ea8819094ada73d86ffaa8b completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06a3eb48190891326891222766d completed March 10, 2026, 4:39 a.m.
NEDg Description generation batch_69afa166de908190bdd920ec1b166b3a completed March 10, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69afa1ffbc4881909bb326a8a2f2a05e completed March 10, 2026, 4:45 a.m.
Created at: March 6, 2026, 9:54 p.m.