Triple

T15257695
Position Surface form Disambiguated ID Type / Status
Subject Louis I of Etruria E364689 entity
Predicate positionHeld P8 FINISHED
Object King of Etruria E360212 NE FINISHED

How this triple was built (2 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: King of Etruria | Statement: [Louis I of Etruria, positionHeld, King of Etruria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King of Etruria
Context triple: [Louis I of Etruria, positionHeld, King of Etruria]
  • A. King of Etruria chosen
    The King of Etruria was the monarch who ruled the short-lived Napoleonic client state of the Kingdom of Etruria in early 19th-century Italy.
  • B. Lars Porsenna
    Lars Porsenna was an Etruscan king, best known from Roman tradition for his powerful rule and his legendary siege of early Republican Rome.
  • C. Gundisalvus
    Gundisalvus is a medieval Latin given name of Visigothic origin that later evolved into the Spanish name Gonzalo.
  • D. King Latinus
    King Latinus is a legendary ruler of Latium in Roman mythology, best known from Virgil’s Aeneid as the monarch who receives the Trojan hero Aeneas and becomes an ancestor of the Roman people.
  • E. Sicel
    Sicel was an ancient Indo-European language once spoken by the Sicel people in eastern Sicily before the dominance of Latin and Greek in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084b97908190b3bf7ea7bd75bdc0 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f9a0708190bc429692788a63d7 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.