Triple

T18281768
Position Surface form Disambiguated ID Type / Status
Subject Cer Mountain E437880 entity
Predicate nearbySettlement P350 FINISHED
Object Tekeriš
Tekeriš is a small village in western Serbia known as the site of the Battle of Cer, one of the first Allied victories of World War I.
 E1316009 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: Tekeriš | Statement: [Cer Mountain, nearbySettlement, Tekeriš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tekeriš
Context triple: [Cer Mountain, nearbySettlement, Tekeriš]
  • A. Tekirova
    Tekirova is a coastal resort village in Turkey’s Antalya Province, known for its beaches, proximity to Mount Tahtalı, and location along the popular Lycian Way hiking trail.
  • B. Trebesing
    Trebesing is a small Austrian municipality in the state of Carinthia, known for its scenic Alpine setting and family-friendly attractions.
  • C. Tekov
    Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
  • D. Kajtak
    Kajtak is a dialect of the Dargin language spoken by Dargin communities in the North Caucasus region of Dagestan, Russia.
  • E. Tisler
    Tisler is a small Norwegian island in the Hvaler archipelago, known for its coastal scenery and traditional seaside cottages.
  • 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: Tekeriš
Triple: [Cer Mountain, nearbySettlement, Tekeriš]
Generated description
Tekeriš is a small village in western Serbia known as the site of the Battle of Cer, one of the first Allied victories of World War I.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tekeriš
Target entity description: Tekeriš is a small village in western Serbia known as the site of the Battle of Cer, one of the first Allied victories of World War I.
  • A. Tekirova
    Tekirova is a coastal resort village in Turkey’s Antalya Province, known for its beaches, proximity to Mount Tahtalı, and location along the popular Lycian Way hiking trail.
  • B. Trebesing
    Trebesing is a small Austrian municipality in the state of Carinthia, known for its scenic Alpine setting and family-friendly attractions.
  • C. Tekov
    Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
  • D. Kajtak
    Kajtak is a dialect of the Dargin language spoken by Dargin communities in the North Caucasus region of Dagestan, Russia.
  • E. Tisler
    Tisler is a small Norwegian island in the Hvaler archipelago, known for its coastal scenery and traditional seaside cottages.
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50056ea0481908d66bf263ac80c75 completed April 19, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b4029cb88190963ae33570455c2d completed May 12, 2026, 11:13 p.m.
NEDg Description generation batch_6a03b501b630819094c77aebf62081a2 completed May 12, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03b5c09f4881909fb0ead5fc48895c completed May 12, 2026, 11:20 p.m.
Created at: April 10, 2026, 10:35 a.m.