Triple

T13820484
Position Surface form Disambiguated ID Type / Status
Subject Decapolis E332120 entity
Predicate hasCity P316 FINISHED
Object Raphana
Raphana was an ancient Hellenistic-Roman city of the Decapolis in the Levant, known from classical sources as part of this influential league of urban centers.
E1065313 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: Raphana | Statement: [Decapolis, hasCity, Raphana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raphana
Context triple: [Decapolis, hasCity, Raphana]
  • A. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • B. Saravena
    Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
  • C. Ranon
    Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
  • D. Locmaria
    Locmaria is a coastal commune on Belle-Île in the Morbihan department of Brittany in northwestern France.
  • E. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • 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: Raphana
Triple: [Decapolis, hasCity, Raphana]
Generated description
Raphana was an ancient Hellenistic-Roman city of the Decapolis in the Levant, known from classical sources as part of this influential league of urban centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raphana
Target entity description: Raphana was an ancient Hellenistic-Roman city of the Decapolis in the Levant, known from classical sources as part of this influential league of urban centers.
  • A. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • B. Saravena
    Saravena is a Colombian town and municipality located in the northeastern oil-producing and conflict-affected region near the border with Venezuela.
  • C. Ranon
    Ranon is a small village located on Ambrym Island in the archipelago nation of Vanuatu in the South Pacific.
  • D. Locmaria
    Locmaria is a coastal commune on Belle-Île in the Morbihan department of Brittany in northwestern France.
  • E. Relva
    Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c20da9448190b3167b091bd39b94 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c2cc63148190b9ca2828abe54286 completed May 3, 2026, 9:49 p.m.
Created at: April 9, 2026, 10:12 p.m.