Triple

T21123099
Position Surface form Disambiguated ID Type / Status
Subject Kras E520481 entity
Predicate hasSettlement P1068 FINISHED
Object Sežana 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: Sežana | Statement: [Kras, hasSettlement, Sežana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sežana
Context triple: [Kras, hasSettlement, Sežana]
  • A. Sežana chosen
    Sežana is a town in southwestern Slovenia near the Italian border, known as a regional center of the Karst area and an important transport and trade hub.
  • B. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • C. Pavlina
    Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
  • D. Zelenci
    Zelenci is a picturesque emerald-green spring and wetland area in northwestern Slovenia, renowned as the source of the Sava Dolinka River and for its protected natural beauty.
  • E. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72236b2d88190bef9f0cd6924ca92 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.