Triple

T19528173
Position Surface form Disambiguated ID Type / Status
Subject Annweiler am Trifels E488586 entity
Predicate hasNearbyMountain P651 FINISHED
Object Anebos
Anebos is a small mountain in the Palatinate Forest of southwestern Germany, known for the ruins of Anebos Castle near Annweiler am Trifels.
E1382178 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: Anebos | Statement: [Annweiler am Trifels, hasNearbyMountain, Anebos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anebos
Context triple: [Annweiler am Trifels, hasNearbyMountain, Anebos]
  • A. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • B. Anabon
    Anabon is an alternative name for Annobón, a small volcanic island and province of Equatorial Guinea located in the Gulf of Guinea off the west coast of Central Africa.
  • C. Anelesi
    Anelesi are the inhabitants or natives of Anela, a town in Sardinia, Italy.
  • D. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • E. Anazarba
    Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
  • 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: Anebos
Triple: [Annweiler am Trifels, hasNearbyMountain, Anebos]
Generated description
Anebos is a small mountain in the Palatinate Forest of southwestern Germany, known for the ruins of Anebos Castle near Annweiler am Trifels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anebos
Target entity description: Anebos is a small mountain in the Palatinate Forest of southwestern Germany, known for the ruins of Anebos Castle near Annweiler am Trifels.
  • A. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • B. Anabon
    Anabon is an alternative name for Annobón, a small volcanic island and province of Equatorial Guinea located in the Gulf of Guinea off the west coast of Central Africa.
  • C. Anelesi
    Anelesi are the inhabitants or natives of Anela, a town in Sardinia, Italy.
  • D. Arakoon
    Arakoon is a small coastal locality in New South Wales, Australia, known for its beaches and the historic Trial Bay Gaol.
  • E. Anazarba
    Anazarba is an ancient city in Cilicia (in present-day southern Turkey), known for its impressive Roman and Byzantine ruins and strategic location.
  • F. None of above. chosen

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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363d43148190af25caaa57accf9b completed April 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e77bbc8819084406fcb2d053e0f completed May 15, 2026, 4:48 p.m.
NEDg Description generation batch_6a074ffa3da48190badea6039822ddd6 completed May 15, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0750cfe42481909bf83cc488bcbae8 completed May 15, 2026, 4:58 p.m.
Created at: April 10, 2026, 1:41 p.m.