Triple

T11037602
Position Surface form Disambiguated ID Type / Status
Subject Merecz E260926 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Mereč
Mereč is a locality whose name appears in various transliterated forms, including "Merecz" and "Mereč," reflecting linguistic and historical variations in the region.
E900733 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: Mereč | Statement: [Merecz, hasAlternativeTransliteration, Mereč]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mereč
Context triple: [Merecz, hasAlternativeTransliteration, Mereč]
  • A. Mokre
    Mokre is a district of the town of Mikołów in southern Poland, situated in the Silesian region.
  • B. Maretz
    Maretz is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • C. Svete
    Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • D. Taje
    Taje is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Mnajdra
    Mnajdra is an ancient megalithic temple complex on Malta’s southern coast, renowned for its prehistoric architecture and astronomical alignments.
  • 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: Mereč
Triple: [Merecz, hasAlternativeTransliteration, Mereč]
Generated description
Mereč is a locality whose name appears in various transliterated forms, including "Merecz" and "Mereč," reflecting linguistic and historical variations in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mereč
Target entity description: Mereč is a locality whose name appears in various transliterated forms, including "Merecz" and "Mereč," reflecting linguistic and historical variations in the region.
  • A. Mokre
    Mokre is a district of the town of Mikołów in southern Poland, situated in the Silesian region.
  • B. Maretz
    Maretz is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
  • C. Svete
    Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • D. Taje
    Taje is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Mnajdra
    Mnajdra is an ancient megalithic temple complex on Malta’s southern coast, renowned for its prehistoric architecture and astronomical alignments.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fd5fe081908af13835b18de7b8 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9c669608190af97c461beaf9f31 completed April 18, 2026, 3:56 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1fff754819092d634f46fb42387 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:25 p.m.