Triple

T6592918
Position Surface form Disambiguated ID Type / Status
Subject Essa E148404 entity
Predicate hasLocality P7943 FINISHED
Object Thoron
Thoron is a locality associated with the area of Essa, likely a small community or settlement within that region.
 E603475 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: Thoron | Statement: [Essa, hasLocality, Thoron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thoron
Context triple: [Essa, hasLocality, Thoron]
  • A. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Taurision
    Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
  • D. Cornas
    Cornas is a prestigious Northern Rhône wine appellation in France renowned for producing powerful, age-worthy red wines exclusively from Syrah grapes.
  • E. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • 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: Thoron
Triple: [Essa, hasLocality, Thoron]
Generated description
Thoron is a locality associated with the area of Essa, likely a small community or settlement within that region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thoron
Target entity description: Thoron is a locality associated with the area of Essa, likely a small community or settlement within that region.
  • A. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Taurision
    Taurision is an ancient settlement in North Macedonia, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
  • D. Cornas
    Cornas is a prestigious Northern Rhône wine appellation in France renowned for producing powerful, age-worthy red wines exclusively from Syrah grapes.
  • E. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aecf50ac81909cb9960c8265a7ea completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d57d338c81909e935926d635d2fc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.