Triple

T9523205
Position Surface form Disambiguated ID Type / Status
Subject Province of Caserta E229694 entity
Predicate hasMunicipality P847 FINISHED
Object Teano E222891 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: Teano | Statement: [Province of Caserta, hasMunicipality, Teano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teano
Context triple: [Province of Caserta, hasMunicipality, Teano]
  • A. Teano chosen
    Teano is a historic town in Italy’s Campania region, known for its ancient origins and as the site of the famous 1860 meeting between Giuseppe Garibaldi and King Victor Emmanuel II.
  • B. Phorkys
    Phorkys is a primordial sea god in Greek mythology, often depicted as a wise but monstrous figure associated with the dangers and mysteries of the deep ocean.
  • C. Adrasteia
    Adrasteia is a nymph in Greek mythology associated with nurturing the infant Zeus and sometimes linked with divine retribution and inevitability.
  • D. Polymele
    Polymele is a figure in Greek mythology known primarily as the mother of the hero Patroclus.
  • E. Coeus
    Coeus is a Titan from Greek mythology, associated with intelligence and the axis of the heavens, who fought against the Olympian gods.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9898e0b48190a3e3f0f1616d5055 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a61fbd08190bb68ffe29da3a34a completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.