Triple

T6183015
Position Surface form Disambiguated ID Type / Status
Subject Zadar County E137988 entity
Predicate hasTown P847 FINISHED
Object Nin
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
E573937 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: Nin | Statement: [Zadar County, hasTown, Nin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nin
Context triple: [Zadar County, hasTown, Nin]
  • A. Ner
    Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
  • B. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • C. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • 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: Nin
Triple: [Zadar County, hasTown, Nin]
Generated description
Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nin
Target entity description: Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
  • A. Ner
    Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
  • B. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • C. Nōmi
    Nōmi was a former town in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a municipal merger.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c14426f414819084bd3bafa81d6c00 completed March 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c144b45a148190a95095d7141ddeb0 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:19 p.m.