Triple

T13263821
Position Surface form Disambiguated ID Type / Status
Subject Kastav E315864 entity
Predicate regionCodeISO_3166_2 P42695 FINISHED
Object HR-08
HR-08 is the ISO 3166-2 regional code assigned to the Primorje-Gorski Kotar County in Croatia.
E1030806 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: HR-08 | Statement: [Kastav, regionCodeISO_3166_2, HR-08]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HR-08
Context triple: [Kastav, regionCodeISO_3166_2, HR-08]
  • A. FR-08
    FR-08 is the ISO 3166-2 code designating the Ardennes department in northeastern France.
  • B. JR-O08
    JR-O08 is the station code assigned to Kyobashi Station on the JR West Osaka Loop Line in Osaka, Japan.
  • C. J80
    J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
  • D. EH8
    EH8 is a central Edinburgh postcode district covering areas including Holyrood and parts of the city’s historic core.
  • E. R08
    R08 is the pennant number of HMS Queen Elizabeth, the lead ship of the Royal Navy’s Queen Elizabeth-class aircraft carriers and one of the largest warships ever built for the United Kingdom.
  • 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: HR-08
Triple: [Kastav, regionCodeISO_3166_2, HR-08]
Generated description
HR-08 is the ISO 3166-2 regional code assigned to the Primorje-Gorski Kotar County in Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HR-08
Target entity description: HR-08 is the ISO 3166-2 regional code assigned to the Primorje-Gorski Kotar County in Croatia.
  • A. FR-08
    FR-08 is the ISO 3166-2 code designating the Ardennes department in northeastern France.
  • B. JR-O08
    JR-O08 is the station code assigned to Kyobashi Station on the JR West Osaka Loop Line in Osaka, Japan.
  • C. J80
    J80 is the internal chassis code used by Toyota for the 80-series Land Cruiser platform that underpins the first-generation Lexus LX luxury SUV.
  • D. EH8
    EH8 is a central Edinburgh postcode district covering areas including Holyrood and parts of the city’s historic core.
  • E. R08
    R08 is the pennant number of HMS Queen Elizabeth, the lead ship of the Royal Navy’s Queen Elizabeth-class aircraft carriers and one of the largest warships ever built for the United Kingdom.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a48bc488190a5cf692d81bdcbba completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b5dbcc4819081b5ba410e319eb7 completed May 3, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:25 p.m.