Triple

T8833377
Position Surface form Disambiguated ID Type / Status
Subject Burgas Bay E210200 entity
Predicate hasCoastlineCity P212 FINISHED
Object Pomorie E759992 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: Pomorie | Statement: [Burgas Bay, hasCoastlineCity, Pomorie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pomorie
Context triple: [Burgas Bay, hasCoastlineCity, Pomorie]
  • A. Pomorie chosen
    Pomorie is a Bulgarian Black Sea coastal town and resort known for its salt production, mud therapy, and historic monastery.
  • B. Dar Pomorza
    Dar Pomorza is a historic Polish sailing frigate, now preserved as a museum ship and popular tourist attraction in Gdynia.
  • C. Pomortsy
    Pomortsy are a sect of Russian Old Believers known for their strict ascetic practices and distinctive religious traditions that developed among coastal communities of the White Sea.
  • D. Papariga
    Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
  • E. Pošeň
    Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60670fa48190b2a873f6498de7f6 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfab71962c8190823a1ca1d4fa56f3 completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:47 p.m.