Triple

T1403560
Position Surface form Disambiguated ID Type / Status
Subject Thônex E31639 entity
Predicate hasSettlement P1068 FINISHED
Object Moillesulaz
Moillesulaz is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, situated near the French border.
 E160612 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: Moillesulaz | Statement: [Thônex, hasSettlement, Moillesulaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moillesulaz
Context triple: [Thônex, hasSettlement, Moillesulaz]
  • A. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • B. Limmat
    The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • E. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • 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: Moillesulaz
Triple: [Thônex, hasSettlement, Moillesulaz]
Generated description
Moillesulaz is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, situated near the French border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moillesulaz
Target entity description: Moillesulaz is a locality within the municipality of Thônex in the canton of Geneva, Switzerland, situated near the French border.
  • A. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • B. Limmat
    The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
  • C. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • D. Salo
    Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
  • E. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde39d14c81909a76704c8e16c744 completed March 8, 2026, 2:26 a.m.
NEDg Description generation batch_69acdfc287648190b9a7313a074ceea5 completed March 8, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69ace0b0c14481909559f926c190c146 completed March 8, 2026, 2:36 a.m.
Created at: March 1, 2026, 7:59 p.m.