Triple

T22303628
Position Surface form Disambiguated ID Type / Status
Subject Tanah Lot Temple E551318 entity
Predicate locatedIn P40 FINISHED
Object Beraban village
Beraban village is a coastal settlement in Tabanan Regency, Bali, Indonesia, best known as the home of the iconic sea temple Tanah Lot.
E1529597 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: Beraban village | Statement: [Tanah Lot Temple, locatedIn, Beraban village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beraban village
Context triple: [Tanah Lot Temple, locatedIn, Beraban village]
  • A. Tahkuna village
    Tahkuna village is a small coastal settlement in northern Hiiumaa, Estonia, known for its proximity to the Tahkuna Lighthouse and surrounding natural landscapes.
  • B. Balata village
    Balata village is a Palestinian village in the northern West Bank, known for its proximity to Nablus and the adjacent Balata refugee camp.
  • C. Aila village
    Aila village is a small rural settlement located within Saue municipality in northern Estonia.
  • D. Serua Village
    Serua Village is a small rural settlement located within Serua Province, Fiji, known for its coastal setting and traditional Fijian village life.
  • E. Antereen village
    Antereen village is the main settlement and administrative center of Banaba Island in the Pacific Ocean nation of Kiribati.
  • 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: Beraban village
Triple: [Tanah Lot Temple, locatedIn, Beraban village]
Generated description
Beraban village is a coastal settlement in Tabanan Regency, Bali, Indonesia, best known as the home of the iconic sea temple Tanah Lot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beraban village
Target entity description: Beraban village is a coastal settlement in Tabanan Regency, Bali, Indonesia, best known as the home of the iconic sea temple Tanah Lot.
  • A. Tahkuna village
    Tahkuna village is a small coastal settlement in northern Hiiumaa, Estonia, known for its proximity to the Tahkuna Lighthouse and surrounding natural landscapes.
  • B. Balata village
    Balata village is a Palestinian village in the northern West Bank, known for its proximity to Nablus and the adjacent Balata refugee camp.
  • C. Aila village
    Aila village is a small rural settlement located within Saue municipality in northern Estonia.
  • D. Serua Village
    Serua Village is a small rural settlement located within Serua Province, Fiji, known for its coastal setting and traditional Fijian village life.
  • E. Antereen village
    Antereen village is the main settlement and administrative center of Banaba Island in the Pacific Ocean nation of Kiribati.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15725de488190a32006cd99dd4a67 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9cd4508190825732ffc8b9fa84 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acd8b04d88190a545cec751e4a635 completed May 18, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0ace5e9b948190bd4fb7092e6fb62e completed May 18, 2026, 8:31 a.m.
Created at: April 16, 2026, 8:41 p.m.