Triple

T1346139
Position Surface form Disambiguated ID Type / Status
Subject Samaria E28574 entity
Predicate containsSite P5003 FINISHED
Object Sebastia E73060 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: Sebastia | Statement: [Samaria, containsSite, Sebastia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastia
Context triple: [Samaria, containsSite, Sebastia]
  • A. Sebaste chosen
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • B. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • C. Freirina
    Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
  • D. Pamiris
    Pamiris are an Iranian ethnic group native to the mountainous Pamir region of Central Asia, known for their distinct Eastern Iranian languages and cultural traditions.
  • E. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23e84188190b0395c57dd45b62a completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd47917d88190a13d7705f09c0b58 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:56 p.m.