Triple

T3584826
Position Surface form Disambiguated ID Type / Status
Subject Andros E75884 entity
Predicate hasSettlement P1068 FINISHED
Object Batsi
Batsi is a coastal village and popular tourist resort on the Greek island of Andros in the Cyclades.
 E371091 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: Batsi | Statement: [Andros, hasSettlement, Batsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batsi
Context triple: [Andros, hasSettlement, Batsi]
  • A. Baigas
    The Baigas are an indigenous tribal community of central India known for their traditional shifting cultivation, forest-based lifestyle, and distinct cultural and spiritual practices.
  • B. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • C. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • D. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • E. Bacavi
    Bacavi is a traditional Hopi village located on the Hopi Reservation in northeastern Arizona.
  • 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: Batsi
Triple: [Andros, hasSettlement, Batsi]
Generated description
Batsi is a coastal village and popular tourist resort on the Greek island of Andros in the Cyclades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batsi
Target entity description: Batsi is a coastal village and popular tourist resort on the Greek island of Andros in the Cyclades.
  • A. Baigas
    The Baigas are an indigenous tribal community of central India known for their traditional shifting cultivation, forest-based lifestyle, and distinct cultural and spiritual practices.
  • B. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • C. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • D. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • E. Bacavi
    Bacavi is a traditional Hopi village located on the Hopi Reservation in northeastern Arizona.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc10f9b508190bde4a4e4711dd452 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402fcc5f481909c66319f75a8dc85 completed March 13, 2026, 12:28 p.m.
NEDg Description generation batch_69b406d014d88190b488b9b1f70fecca completed March 13, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69b4086f6da4819084778dffa33ef116 completed March 13, 2026, 12:51 p.m.
Created at: March 8, 2026, 3:22 p.m.