Triple

T17820409
Position Surface form Disambiguated ID Type / Status
Subject Engerdal E444966 entity
Predicate createdFrom P5574 FINISHED
Object Tolga
Tolga is a municipality in Innlandet county, Norway, known for its rural landscapes, traditional farming communities, and historical mining heritage.
 E462702 NE FINISHED

How this triple was built (4 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: Tolga | Statement: [Engerdal, createdFrom, Tolga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tolga
Context triple: [Engerdal, createdFrom, Tolga]
  • A. Tolga
    Tolga is a small rural municipality in Innlandet county, Norway, known for its traditional farming landscape and mountainous surroundings.
  • B. Tolga
    Tolga is a town in northeastern Algeria known for its date palm oases and location within Biskra Province on the edge of the Sahara Desert.
  • C. Talgut
    Talgut is a locality or neighborhood that forms part of the municipality of Ittigen in the canton of Bern, Switzerland.
  • D. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • E. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tolga
Triple: [Engerdal, createdFrom, Tolga]
Generated description
Tolga is a municipality in Innlandet county, Norway, known for its rural landscapes, traditional farming communities, and historical mining heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tolga
Target entity description: Tolga is a municipality in Innlandet county, Norway, known for its rural landscapes, traditional farming communities, and historical mining heritage.
  • A. Tolga chosen
    Tolga is a small rural municipality in Innlandet county, Norway, known for its traditional farming landscape and mountainous surroundings.
  • B. Tolga
    Tolga is a town in northeastern Algeria known for its date palm oases and location within Biskra Province on the edge of the Sahara Desert.
  • C. Talgut
    Talgut is a locality or neighborhood that forms part of the municipality of Ittigen in the canton of Bern, Switzerland.
  • D. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • E. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • F. None of above.

Provenance (5 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48910eb8881908db8ec08e2752d7d completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff680b548190b6f1fbc09335ff31 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a0300ca1ac88190b474ac8276d55445 completed May 12, 2026, 10:28 a.m.
NED2 Entity disambiguation (via description) batch_6a03017f7ea08190b3a98db1c429d04f completed May 12, 2026, 10:31 a.m.
Created at: April 10, 2026, 10:15 a.m.