Triple

T20407222
Position Surface form Disambiguated ID Type / Status
Subject Celje E500500 entity
Predicate wasRomanSettlementName P86027 FINISHED
Object Celeia
Celeia was an important ancient Roman town located on the site of present-day Celje in Slovenia.
E1429301 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: Celeia | Statement: [Celje, wasRomanSettlementName, Celeia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celeia
Context triple: [Celje, wasRomanSettlementName, Celeia]
  • A. Torriana
    Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
  • B. Cadmea
    Cadmea was the ancient fortified citadel at the heart of Thebes in Boeotia, serving as its political and military stronghold.
  • C. Lucciana
    Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
  • D. Laviana
    Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
  • E. Morée
    Morée is a small commune in the Loir-et-Cher department of central France, known for its rural character and location within the Vendôme arrondissement.
  • 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: Celeia
Triple: [Celje, wasRomanSettlementName, Celeia]
Generated description
Celeia was an important ancient Roman town located on the site of present-day Celje in Slovenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Celeia
Target entity description: Celeia was an important ancient Roman town located on the site of present-day Celje in Slovenia.
  • A. Torriana
    Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
  • B. Cadmea
    Cadmea was the ancient fortified citadel at the heart of Thebes in Boeotia, serving as its political and military stronghold.
  • C. Lucciana
    Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
  • D. Laviana
    Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
  • E. Morée
    Morée is a small commune in the Loir-et-Cher department of central France, known for its rural character and location within the Vendôme arrondissement.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67993dc7081908ebd54ec92e712ea completed April 20, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b1db4ec8190933e26fbb2003dce completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088015c514819087967845614dd25d completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880b79edc81908b180db5338f57db completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:29 a.m.