Triple

T9044892
Position Surface form Disambiguated ID Type / Status
Subject Surami Fortress E216729 entity
Predicate nearbySettlement P350 FINISHED
Object Surami E216725 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: Surami | Statement: [Surami Fortress, nearbySettlement, Surami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surami
Context triple: [Surami Fortress, nearbySettlement, Surami]
  • A. Surami chosen
    Surami is a historic town in central Georgia known for its medieval fortress and role as a transport and resort hub in the Shida Kartli region.
  • B. Rotima
    Rotima is a small settlement located on the island of Nonouti in the Republic of Kiribati.
  • C. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • D. Seia
    Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
  • E. Rukmi
    Rukmi is a character in Hindu mythology known as the proud and antagonistic brother of Rukmini, who opposed her marriage to Krishna.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0177fb9108190846fe872bb003b08 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:09 p.m.