Triple

T3661839
Position Surface form Disambiguated ID Type / Status
Subject Taman Peninsula E77666 entity
Predicate hasTown P847 FINISHED
Object Taman E169903 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: Taman | Statement: [Taman Peninsula, hasTown, Taman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taman
Context triple: [Taman Peninsula, hasTown, Taman]
  • A. Reisa National Park
    Reisa National Park is a protected wilderness area in northern Norway known for its deep river canyon, waterfalls, and rugged Arctic landscapes.
  • B. Parikia
    Parikia is the main port town and administrative center of the Greek island of Paros, known for its traditional Cycladic architecture and historic sites.
  • C. Nira Park
    Nira Park is a British film and television producer known for her collaborations with Edgar Wright and for producing acclaimed genre-bending comedies and cult favorites.
  • D. Tambolaka chosen
    Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
  • E. Taman Peninsula
    The Taman Peninsula is a region in southern Russia between the Black Sea and the Sea of Azov, known for its strategic location, ports, and historical role as a crossroads between Europe and Asia.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d826d88190b0b50e8592088a36 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48846af9881909d71d63b8bd8d141 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.