Triple

T10760264
Position Surface form Disambiguated ID Type / Status
Subject Nieuwe Pekela E253806 entity
Predicate locatedOnWatercourse P1489 FINISHED
Object Pekel A E51701 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: Pekel A | Statement: [Nieuwe Pekela, locatedOnWatercourse, Pekel A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekel A
Context triple: [Nieuwe Pekela, locatedOnWatercourse, Pekel A]
  • A. Pekela chosen
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • B. Pekat
    Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
  • C. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • D. Kapong
    Kapong is a district-level administrative area located within Phang Nga Province in southern Thailand.
  • E. Kapong
    Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2344b0ec8190b5d713c129790288 completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:16 p.m.