Triple

T18424125
Position Surface form Disambiguated ID Type / Status
Subject Vis E442093 entity
Predicate hasSettlement P1068 FINISHED
Object Komiža
Komiža is a small coastal town and fishing port on the western side of the Croatian island of Vis in the Adriatic Sea.
E1326198 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: Komiža | Statement: [Vis, hasSettlement, Komiža]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komiža
Context triple: [Vis, hasSettlement, Komiža]
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Slanica
    Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
  • C. Zahumlje
    Zahumlje was a medieval South Slavic principality located along the Adriatic coast in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
  • D. Korenica
    Korenica is a small town in central Croatia that serves as an administrative and service center near the Plitvice Lakes National Park.
  • E. Kapesovo
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • 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: Komiža
Triple: [Vis, hasSettlement, Komiža]
Generated description
Komiža is a small coastal town and fishing port on the western side of the Croatian island of Vis in the Adriatic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Komiža
Target entity description: Komiža is a small coastal town and fishing port on the western side of the Croatian island of Vis in the Adriatic Sea.
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Slanica
    Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
  • C. Zahumlje
    Zahumlje was a medieval South Slavic principality located along the Adriatic coast in the western Balkans, roughly corresponding to parts of modern-day Herzegovina and southern Dalmatia.
  • D. Korenica
    Korenica is a small town in central Croatia that serves as an administrative and service center near the Plitvice Lakes National Park.
  • E. Kapesovo
    Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51b102dd88190af474902fe58ead5 completed April 19, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f1a0f108190a81e26728e367e7e completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a044044109c8190a767a0ac29a95f53 completed May 13, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_6a04411b29048190807604f3687a56a0 completed May 13, 2026, 9:15 a.m.
Created at: April 10, 2026, 10:47 a.m.