Triple

T4792046
Position Surface form Disambiguated ID Type / Status
Subject Sakhalin Island E106624 entity
Predicate hasCity P316 FINISHED
Object Nogliki
Nogliki is a small town and administrative center in northern Sakhalin, Russia, known primarily for its role in supporting the island’s oil and gas industry.
E471451 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: Nogliki | Statement: [Sakhalin Island, hasCity, Nogliki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogliki
Context triple: [Sakhalin Island, hasCity, Nogliki]
  • A. Tognana
    Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • B. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • C. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • D. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • E. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • 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: Nogliki
Triple: [Sakhalin Island, hasCity, Nogliki]
Generated description
Nogliki is a small town and administrative center in northern Sakhalin, Russia, known primarily for its role in supporting the island’s oil and gas industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nogliki
Target entity description: Nogliki is a small town and administrative center in northern Sakhalin, Russia, known primarily for its role in supporting the island’s oil and gas industry.
  • A. Tognana
    Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • B. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • C. Ozieri
    Ozieri is a town in northern Sardinia, Italy, known for giving its name to the prehistoric Ozieri culture characterized by advanced Neolithic pottery and settlements.
  • D. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • E. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd66059bfc8190885d26d05dd38df1 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d96f7e88190be4ba5c7ceb07608 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e764b60819097aace8e7321dc0c completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4ef501e081908a75547e9bb52c0c completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:22 p.m.