Triple

T7501161
Position Surface form Disambiguated ID Type / Status
Subject Tirana International Airport Nënë Tereza E177262 entity
Predicate locatedIn P40 FINISHED
Object Rinas
Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
 E668651 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: Rinas | Statement: [Tirana International Airport Nënë Tereza, locatedIn, Rinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rinas
Context triple: [Tirana International Airport Nënë Tereza, locatedIn, Rinas]
  • A. Rinaldi
    Rinaldi is the jovial, womanizing Italian army surgeon and close friend of Frederic Henry in Ernest Hemingway’s novel "A Farewell to Arms."
  • B. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • C. Resigaro
    Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
  • D. Sorabi
    Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
  • E. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • 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: Rinas
Triple: [Tirana International Airport Nënë Tereza, locatedIn, Rinas]
Generated description
Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rinas
Target entity description: Rinas is a village near Tirana in Albania best known as the location of the country’s main international airport.
  • A. Rinaldi
    Rinaldi is the jovial, womanizing Italian army surgeon and close friend of Frederic Henry in Ernest Hemingway’s novel "A Farewell to Arms."
  • B. Rittō
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • C. Resigaro
    Resigaro is an indigenous Arawakan language of the northwestern Amazon, traditionally spoken by a small community in the Peru–Brazil border region and now critically endangered.
  • D. Sorabi
    Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
  • E. Rinshi
    Rinshi was a noblewoman of Japan’s Heian period and the principal wife of the powerful court regent Fujiwara no Michinaga.
  • 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.