Triple

T18637014
Position Surface form Disambiguated ID Type / Status
Subject Roman province of Lazicum E455577 entity
Predicate inhabitedBy P6481 FINISHED
Object Laz people NE NERFINISHED

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: Laz people | Statement: [Roman province of Lazicum, inhabitedBy, Laz people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laz people
Context triple: [Roman province of Lazicum, inhabitedBy, Laz people]
  • A. Laz people chosen
    Laz people are an indigenous ethnic group of the South Caucasus and Black Sea coastal region, closely related to Georgians and known for their distinct Laz language and maritime culture.
  • B. Laz
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • C. LAZ
    LAZ is the regional code for Lazio, a central Italian region that includes Rome and its surrounding areas.
  • D. LAZ
    LAZ is the station code for San Lázaro, a Mexico City Metro station serving Line 1 and Line B near the city’s eastern transport hubs.
  • E. Lazi
    Lazi is a coastal municipality on the southeastern side of Siquijor Island in the Philippines, known for its historic church, natural springs, and waterfalls.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc9fa6c81909e1b988bdfb5ebcc completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.