Triple

T9219484
Position Surface form Disambiguated ID Type / Status
Subject Stade Geoffroy-Guichard E221323 entity
Predicate hasStand P6313 FINISHED
Object Kop Sud
Kop Sud is a prominent supporter stand at Stade Geoffroy-Guichard, known for housing some of the most passionate fans of AS Saint-Étienne.
E784832 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: Kop Sud | Statement: [Stade Geoffroy-Guichard, hasStand, Kop Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kop Sud
Context triple: [Stade Geoffroy-Guichard, hasStand, Kop Sud]
  • A. Mount Klabat
    Mount Klabat is a stratovolcano and the highest peak in North Sulawesi, Indonesia, known for its crater lake and popular hiking routes.
  • B. Gigiri
    Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
  • C. Piekberg
    Piekberg is a low, wooded hill on the German island of Rügen, notable as its highest natural elevation.
  • D. Mount Leuser
    Mount Leuser is a prominent mountain in northern Sumatra, Indonesia, forming part of the biodiverse Leuser Ecosystem and lending its name to the surrounding national park.
  • E. Mount Kaputjugh
    Mount Kaputjugh is a prominent peak in the South Caucasus region, known as the highest summit of the Zangezur mountain range on the border between Armenia and Azerbaijan.
  • 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: Kop Sud
Triple: [Stade Geoffroy-Guichard, hasStand, Kop Sud]
Generated description
Kop Sud is a prominent supporter stand at Stade Geoffroy-Guichard, known for housing some of the most passionate fans of AS Saint-Étienne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kop Sud
Target entity description: Kop Sud is a prominent supporter stand at Stade Geoffroy-Guichard, known for housing some of the most passionate fans of AS Saint-Étienne.
  • A. Mount Klabat
    Mount Klabat is a stratovolcano and the highest peak in North Sulawesi, Indonesia, known for its crater lake and popular hiking routes.
  • B. Gigiri
    Gigiri is an affluent diplomatic and residential district in Nairobi, Kenya, known for hosting major international institutions and embassies.
  • C. Piekberg
    Piekberg is a low, wooded hill on the German island of Rügen, notable as its highest natural elevation.
  • D. Mount Leuser
    Mount Leuser is a prominent mountain in northern Sumatra, Indonesia, forming part of the biodiverse Leuser Ecosystem and lending its name to the surrounding national park.
  • E. Mount Kaputjugh
    Mount Kaputjugh is a prominent peak in the South Caucasus region, known as the highest summit of the Zangezur mountain range on the border between Armenia and Azerbaijan.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda74808081908d4bf890759e7120 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662c28648190979cf786fc35ab75 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d06771ba808190a7b10f664425e76e completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d068087ab881908edcfd384a2e3f07 completed April 4, 2026, 1:23 a.m.
Created at: March 30, 2026, 7:28 p.m.