Triple

T13017291
Position Surface form Disambiguated ID Type / Status
Subject Malian Gulf E322585 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Raches
Raches is a coastal settlement situated along the shores of the Malian Gulf in central Greece.
 E1016700 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: Raches | Statement: [Malian Gulf, hasNearbySettlement, Raches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raches
Context triple: [Malian Gulf, hasNearbySettlement, Raches]
  • A. Racha
    Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
  • B. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • C. Ragalna
    Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
  • D. Ralpachen
    Ralpachen was a 9th-century Tibetan emperor renowned for promoting Buddhism, sponsoring extensive translation of Buddhist texts, and strengthening the Tibetan Empire’s cultural and religious foundations.
  • E. Rhees
    Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
  • 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: Raches
Triple: [Malian Gulf, hasNearbySettlement, Raches]
Generated description
Raches is a coastal settlement situated along the shores of the Malian Gulf in central Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raches
Target entity description: Raches is a coastal settlement situated along the shores of the Malian Gulf in central Greece.
  • A. Racha
    Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
  • B. Rahesuk
    Rahesuk is a local language spoken in and around Vila Maumeta, likely belonging to the indigenous linguistic landscape of that region.
  • C. Ragalna
    Ragalna is a small Italian town on the slopes of Mount Etna in Sicily, known for its volcanic landscapes and agricultural traditions.
  • D. Ralpachen
    Ralpachen was a 9th-century Tibetan emperor renowned for promoting Buddhism, sponsoring extensive translation of Buddhist texts, and strengthening the Tibetan Empire’s cultural and religious foundations.
  • E. Rhees
    Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c1147974819090007c21383d5c86 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c562d10c8190b76dbf50a0101bae completed May 3, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69f6c635fc888190891a79da9d7984a0 completed May 3, 2026, 3:51 a.m.
Created at: April 9, 2026, 8:51 p.m.