Triple

T1204174
Position Surface form Disambiguated ID Type / Status
Subject Zadar E25849 entity
Predicate wasKnownAs P65 FINISHED
Object Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
 E137996 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: Zara | Statement: [Zadar, wasKnownAs, Zara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zara
Context triple: [Zadar, wasKnownAs, Zara]
  • A. Uniqlo
    Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
  • B. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • C. Dolce & Gabbana
    Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
  • D. Calvin Klein
    Calvin Klein is an American fashion brand renowned for its minimalist aesthetic, iconic underwear and denim lines, and influential advertising campaigns.
  • E. Sasson Jeans
    Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
  • 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: Zara
Triple: [Zadar, wasKnownAs, Zara]
Generated description
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zara
Target entity description: Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
  • A. Uniqlo
    Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
  • B. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • C. Dolce & Gabbana
    Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
  • D. Calvin Klein
    Calvin Klein is an American fashion brand renowned for its minimalist aesthetic, iconic underwear and denim lines, and influential advertising campaigns.
  • E. Sasson Jeans
    Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3caed481908e9e4b6b9daa544d completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fa90f608190bec0c7dff1d7c9ae completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac808a919081908253d1778695ab2d completed March 7, 2026, 7:46 p.m.
Created at: March 1, 2026, 7:46 p.m.