Triple

T20535935
Position Surface form Disambiguated ID Type / Status
Subject Serifos E504197 entity
Predicate hasBeach P1922 FINISHED
Object Ganema
Ganema is a tranquil, sandy beach on the Greek island of Serifos, known for its clear waters and relatively unspoiled, relaxed atmosphere.
 E1437890 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: Ganema | Statement: [Serifos, hasBeach, Ganema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ganema
Context triple: [Serifos, hasBeach, Ganema]
  • A. Garema
    Garema is a small rural locality in the Central West region of New South Wales, Australia.
  • B. Gudia
    Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
  • C. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • D. Gan
    Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
  • E. Gan
    Gan is a commune in the Pyrénées-Atlantiques department in southwestern France, situated within the administrative area of Pau.
  • 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: Ganema
Triple: [Serifos, hasBeach, Ganema]
Generated description
Ganema is a tranquil, sandy beach on the Greek island of Serifos, known for its clear waters and relatively unspoiled, relaxed atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ganema
Target entity description: Ganema is a tranquil, sandy beach on the Greek island of Serifos, known for its clear waters and relatively unspoiled, relaxed atmosphere.
  • A. Garema
    Garema is a small rural locality in the Central West region of New South Wales, Australia.
  • B. Gudia
    Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
  • C. Goura
    Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
  • D. Gan
    Gan is a common abbreviated name and historical-cultural designation for Jiangxi Province in southeastern China.
  • E. Gan
    Gan is a commune in the Pyrénées-Atlantiques department in southwestern France, situated within the administrative area of Pau.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06ed3088190bd01a95672b01ad6 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a5638f688190b74c79fcb506a24d completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a9459444819089c180ede20cc100 completed May 16, 2026, 5:28 p.m.
NED2 Entity disambiguation (via description) batch_6a08a9c8ae4c8190951fb838bd8c5e91 completed May 16, 2026, 5:30 p.m.
Created at: April 16, 2026, 11:37 a.m.