Triple

T11199953
Position Surface form Disambiguated ID Type / Status
Subject Battle of Asculum E265012 entity
Predicate location P40 FINISHED
Object Asculum E352707 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: Asculum | Statement: [Battle of Asculum, location, Asculum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asculum
Context triple: [Battle of Asculum, location, Asculum]
  • A. Asculum chosen
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • B. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • C. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • D. Laurentum
    Laurentum was an ancient coastal city in Latium, traditionally associated with the legendary king Latinus and early Roman mythic history.
  • E. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4970df7cc81909c3b07ead58513e8 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.