Triple

T18393706
Position Surface form Disambiguated ID Type / Status
Subject Illorai E449807 entity
Predicate hasDemonym P191 FINISHED
Object Illoraesi
Illoraesi are the inhabitants or natives of Illorai, a town in the Sardinia region of Italy.
E1322584 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: Illoraesi | Statement: [Illorai, hasDemonym, Illoraesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illoraesi
Context triple: [Illorai, hasDemonym, Illoraesi]
  • A. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • B. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • C. Eliossana
    Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
  • D. Velitrae
    Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
  • E. Orbiana
    Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
  • 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: Illoraesi
Triple: [Illorai, hasDemonym, Illoraesi]
Generated description
Illoraesi are the inhabitants or natives of Illorai, a town in the Sardinia region of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Illoraesi
Target entity description: Illoraesi are the inhabitants or natives of Illorai, a town in the Sardinia region of Italy.
  • A. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • B. Perenaar
    A Perenaar is a person who originates from or is a resident of the place called Peer.
  • C. Eliossana
    Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
  • D. Velitrae
    Velitrae is an ancient town in Latium, Italy, historically notable as the birthplace of the future Roman emperor Augustus (Gaius Octavius).
  • E. Orbiana
    Orbiana was a Roman empress of the 3rd century, briefly married to Emperor Severus Alexander before falling victim to court intrigues that led to her exile.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e51844c1ec81909ec215db9b29612d completed April 19, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e23eac3081909deb4a491da08bac completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e46859d481909c2738b6f47ea7b3 completed May 13, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a03e4b743688190a582fef43f7b1956 completed May 13, 2026, 2:40 a.m.
Created at: April 10, 2026, 10:46 a.m.