Triple

T10333620
Position Surface form Disambiguated ID Type / Status
Subject Harz district E242940 entity
Predicate contains P35 FINISHED
Object Thale E81895 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: Thale | Statement: [Harz district, contains, Thale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thale
Context triple: [Harz district, contains, Thale]
  • A. Thale chosen
    Thale is a small town in the northern Harz region of central Germany, known for its dramatic Bode Gorge, surrounding cliffs, and role as a gateway to popular hiking and nature areas.
  • B. Thale Waek
    Thale Waek is a famous sandbar attraction in Krabi, Thailand, where separate islands become connected at low tide, drawing many visitors for its unique coastal scenery.
  • C. Tyndis
    Tyndis was an important ancient port city on the Malabar Coast of South India, serving as a key hub in Indian Ocean trade networks under the Chera dynasty.
  • D. Thal
    Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
  • E. Thal
    Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc366b481909c49f199892e9d42 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75054515081908240f985f8b6e2df completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:53 a.m.