Triple

T9308665
Position Surface form Disambiguated ID Type / Status
Subject Regio VI Alta Semita E223953 entity
Predicate namedAfter P63 FINISHED
Object Alta Semita E223953 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: Alta Semita | Statement: [Regio VI Alta Semita, namedAfter, Alta Semita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta Semita
Context triple: [Regio VI Alta Semita, namedAfter, Alta Semita]
  • A. Regio VI Alta Semita chosen
    Regio VI Alta Semita was one of the 14 administrative regions of ancient Rome, encompassing the area along the Alta Semita street on the Quirinal Hill.
  • B. Hebr
    Hebr is the ISO 15924 four-letter code that designates the Hebrew script used for writing the Hebrew language and several other Jewish languages.
  • C. Σίνις
    Σίνις is a figure from Greek mythology, known as a notorious bandit who was slain by the hero Theseus.
  • D. Shemia
    Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
  • E. Ubykh
    Ubykh is an extinct Northwest Caucasian language once spoken along the eastern Black Sea coast, renowned for its exceptionally large consonant inventory and minimal vowel system.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd1daba67c819081d53545d67ef127 completed April 1, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c784f24481909af5f0daa1b8333a completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:37 p.m.