Triple

T5180313
Position Surface form Disambiguated ID Type / Status
Subject Gauja E116902 entity
Predicate hasTributary P415 FINISHED
Object Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
E501437 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: Tirza | Statement: [Gauja, hasTributary, Tirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tirza
Context triple: [Gauja, hasTributary, Tirza]
  • A. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • B. Avigail
    Avigail is a feminine given name, commonly used in Hebrew, that corresponds to the name Abigail.
  • C. Yaël
    Yaël is a French feminine given name of Hebrew origin, commonly borne by contemporary public figures such as politicians and artists.
  • D. Tirzah
    Tirzah was an ancient city in the northern Kingdom of Israel that served as an early royal residence and political center before the capital moved to Samaria.
  • E. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • 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: Tirza
Triple: [Gauja, hasTributary, Tirza]
Generated description
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tirza
Target entity description: Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • A. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • B. Avigail
    Avigail is a feminine given name, commonly used in Hebrew, that corresponds to the name Abigail.
  • C. Yaël
    Yaël is a French feminine given name of Hebrew origin, commonly borne by contemporary public figures such as politicians and artists.
  • D. Tirzah
    Tirzah was an ancient city in the northern Kingdom of Israel that served as an early royal residence and political center before the capital moved to Samaria.
  • E. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07d20208190a423a9a395ac9d32 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee695358c8190801c63cff67efd1b completed March 21, 2026, 6:42 p.m.
NED2 Entity disambiguation (via description) batch_69bee6f91df48190adfcf47a63f4c8ef completed March 21, 2026, 6:44 p.m.
Created at: March 20, 2026, 1:45 p.m.