Triple

T8966144
Position Surface form Disambiguated ID Type / Status
Subject Rawa River E214136 entity
Predicate localName P657 FINISHED
Object Rawa
Rawa is a river known locally by that name, likely serving as a regional waterway in its area.
 E769842 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: Rawa | Statement: [Rawa River, localName, Rawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rawa
Context triple: [Rawa River, localName, Rawa]
  • A. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • B. Kawul
    Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
  • C. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • D. Kutoarjo
    Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
  • E. Janggala
    Janggala was an 11th-century Javanese kingdom formed from the division of the Kahuripan realm, playing a key role in the early political history of East Java in Indonesia.
  • 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: Rawa
Triple: [Rawa River, localName, Rawa]
Generated description
Rawa is a river known locally by that name, likely serving as a regional waterway in its area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rawa
Target entity description: Rawa is a river known locally by that name, likely serving as a regional waterway in its area.
  • A. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • B. Kawul
    Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
  • C. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • D. Kutoarjo
    Kutoarjo is a town in Central Java, Indonesia, known as a regional transport hub and local commercial center.
  • E. Janggala
    Janggala was an 11th-century Javanese kingdom formed from the division of the Kahuripan realm, playing a key role in the early political history of East Java in Indonesia.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67623818819096aee155a9b43e8f completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95879c08190b0091548c8c00207 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb42e6ec8190b126163bf4472986 completed April 3, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_69cfcbba82e88190b40e9721c835fff0 completed April 3, 2026, 2:16 p.m.
Created at: March 30, 2026, 7:01 p.m.