Triple

T7501113
Position Surface form Disambiguated ID Type / Status
Subject Tirana County E177261 entity
Predicate contains P35 FINISHED
Object Kamëz
Kamëz is a suburban municipality and rapidly growing town in central Albania, situated just northwest of the capital city, Tirana.
 E668643 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: Kamëz | Statement: [Tirana County, contains, Kamëz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamëz
Context triple: [Tirana County, contains, Kamëz]
  • A. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • B. Kmehin
    Kmehin is a small agricultural community in Israel’s Negev desert, known for its remote desert setting and regional farming activities.
  • C. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • D. Kambera
    Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
  • E. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • 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: Kamëz
Triple: [Tirana County, contains, Kamëz]
Generated description
Kamëz is a suburban municipality and rapidly growing town in central Albania, situated just northwest of the capital city, Tirana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamëz
Target entity description: Kamëz is a suburban municipality and rapidly growing town in central Albania, situated just northwest of the capital city, Tirana.
  • A. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • B. Kmehin
    Kmehin is a small agricultural community in Israel’s Negev desert, known for its remote desert setting and regional farming activities.
  • C. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • D. Kambera
    Kambera is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia.
  • E. Sagarejo
    Sagarejo is a town in eastern Georgia that serves as an important local center in the Kakheti wine-producing region.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e17c25c8190a7a329f0a6169fac completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.