Triple

T19887712
Position Surface form Disambiguated ID Type / Status
Subject Victoria Reservoir E477945 entity
Predicate nearCity P350 FINISHED
Object Teldeniya
Teldeniya is a town in Sri Lanka’s Central Province known for its proximity to the Victoria Reservoir and surrounding hill-country landscapes.
E1400300 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: Teldeniya | Statement: [Victoria Reservoir, nearCity, Teldeniya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teldeniya
Context triple: [Victoria Reservoir, nearCity, Teldeniya]
  • A. Tetawo
    Tetawo is an alternative name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
  • B. Tyndis
    Tyndis was an important ancient port city on the Malabar Coast of South India, serving as a key hub in Indian Ocean trade networks under the Chera dynasty.
  • C. Telesia
    Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
  • D. Teteven
    Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
  • E. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • 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: Teldeniya
Triple: [Victoria Reservoir, nearCity, Teldeniya]
Generated description
Teldeniya is a town in Sri Lanka’s Central Province known for its proximity to the Victoria Reservoir and surrounding hill-country landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teldeniya
Target entity description: Teldeniya is a town in Sri Lanka’s Central Province known for its proximity to the Victoria Reservoir and surrounding hill-country landscapes.
  • A. Tetawo
    Tetawo is an alternative name for the Tanema language, a nearly extinct Oceanic language once spoken in the Solomon Islands.
  • B. Tyndis
    Tyndis was an important ancient port city on the Malabar Coast of South India, serving as a key hub in Indian Ocean trade networks under the Chera dynasty.
  • C. Telesia
    Telesia was an important ancient town in the region of Samnium in south-central Italy, known for its strategic and military significance in pre-Roman and Roman times.
  • D. Teteven
    Teteven is a picturesque town in central Bulgaria, known for its mountainous scenery, rivers, and role as a regional cultural and tourist center.
  • E. Eliada
    Eliada is a lesser-known biblical figure mentioned in the Old Testament as one of King David’s sons.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590b12c08190bf44a3f3b2cb9122 completed April 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbd16ff08190b03caa3b20478ef4 completed May 16, 2026, 2:52 a.m.
NEDg Description generation batch_6a07dd4080a48190adc444976042bfa8 completed May 16, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_6a07de09b21c8190a9743ee145a3d9b7 completed May 16, 2026, 3:01 a.m.
Created at: April 10, 2026, 1:52 p.m.