Triple

T13856812
Position Surface form Disambiguated ID Type / Status
Subject Lisses E333086 entity
Predicate hasDemonym P191 FINISHED
Object Lissois
Lissois is the French demonym for inhabitants of the commune of Lisses in the Île-de-France region.
 E1066917 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: Lissois | Statement: [Lisses, hasDemonym, Lissois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lissois
Context triple: [Lisses, hasDemonym, Lissois]
  • A. Liss
    Liss is a large village and civil parish in East Hampshire, England, situated in the South Downs National Park and known for its rural character and commuter links to London.
  • B. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • C. Brasla
    Brasla is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • D. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • E. Lombadina
    Lombadina is a remote Aboriginal community on the Dampier Peninsula in Western Australia, known for its strong Bardi cultural heritage and coastal setting.
  • 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: Lissois
Triple: [Lisses, hasDemonym, Lissois]
Generated description
Lissois is the French demonym for inhabitants of the commune of Lisses in the Île-de-France region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lissois
Target entity description: Lissois is the French demonym for inhabitants of the commune of Lisses in the Île-de-France region.
  • A. Liss
    Liss is a large village and civil parish in East Hampshire, England, situated in the South Downs National Park and known for its rural character and commuter links to London.
  • B. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • C. Brasla
    Brasla is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • D. Fussa
    Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
  • E. Lombadina
    Lombadina is a remote Aboriginal community on the Dampier Peninsula in Western Australia, known for its strong Bardi cultural heritage and coastal setting.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02dc9f488190b7181dcb7e304632 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fb7c3c819081fc6f89aa17d6af completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c2c711948190ac614291592a7e03 completed May 3, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69f7c36f28b48190b734a9e5e7ae39b9 completed May 3, 2026, 9:51 p.m.
Created at: April 9, 2026, 10:14 p.m.