Triple

T4232185
Position Surface form Disambiguated ID Type / Status
Subject Gevgelija region E94604 entity
Predicate namedAfter P63 FINISHED
Object Gevgelija
Gevgelija is a town in southeastern North Macedonia near the Greek border, known for its warm climate, agriculture, and role as a key transport and trade hub.
 E427910 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: Gevgelija | Statement: [Gevgelija region, namedAfter, Gevgelija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gevgelija
Context triple: [Gevgelija region, namedAfter, Gevgelija]
  • A. Maja Jezercë
    Maja Jezercë is a prominent mountain peak in the Albanian Alps, known as one of the highest and most rugged summits in the Balkans.
  • B. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • C. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • D. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • E. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • 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: Gevgelija
Triple: [Gevgelija region, namedAfter, Gevgelija]
Generated description
Gevgelija is a town in southeastern North Macedonia near the Greek border, known for its warm climate, agriculture, and role as a key transport and trade hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gevgelija
Target entity description: Gevgelija is a town in southeastern North Macedonia near the Greek border, known for its warm climate, agriculture, and role as a key transport and trade hub.
  • A. Maja Jezercë
    Maja Jezercë is a prominent mountain peak in the Albanian Alps, known as one of the highest and most rugged summits in the Balkans.
  • B. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • C. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • D. Gračanica
    Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
  • E. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e642aac8190977dd101e27afcbb completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77632d08190ab7c12986e2cee61 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5c24a46148190b0be076df2b9757a completed March 14, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_69b5c2d130188190acc9cfd5a64ab0ee completed March 14, 2026, 8:19 p.m.
Created at: March 12, 2026, 11:05 p.m.