Triple

T20649395
Position Surface form Disambiguated ID Type / Status
Subject Beylik of Eretna E507446 entity
Predicate namedAfter P63 FINISHED
Object Eretna
Eretna was a 14th-century Turkic-Mongol ruler in Anatolia who founded the Beylik of Eretna during the decline of the Ilkhanate.
 E1442356 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: Eretna | Statement: [Beylik of Eretna, namedAfter, Eretna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eretna
Context triple: [Beylik of Eretna, namedAfter, Eretna]
  • A. Eotile
    Eotile is a lesser-known Central Tano language spoken in parts of West Africa, likely within the Ivory Coast region.
  • B. Raetihi
    Raetihi is a small rural town in New Zealand’s central North Island, known historically as a timber and farming service centre near the Tongariro National Park.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Minturnae
    Minturnae was an ancient Roman town in Latium, Italy, situated along the Via Appia near the mouth of the Liris River and known for its strategic location and archaeological remains.
  • E. Diotisalvi
    Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
  • 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: Eretna
Triple: [Beylik of Eretna, namedAfter, Eretna]
Generated description
Eretna was a 14th-century Turkic-Mongol ruler in Anatolia who founded the Beylik of Eretna during the decline of the Ilkhanate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eretna
Target entity description: Eretna was a 14th-century Turkic-Mongol ruler in Anatolia who founded the Beylik of Eretna during the decline of the Ilkhanate.
  • A. Eotile
    Eotile is a lesser-known Central Tano language spoken in parts of West Africa, likely within the Ivory Coast region.
  • B. Raetihi
    Raetihi is a small rural town in New Zealand’s central North Island, known historically as a timber and farming service centre near the Tongariro National Park.
  • C. Nisaea
    Nisaea was the port town and harbor of ancient Megara in Greece, serving as its main maritime outlet on the Saronic Gulf.
  • D. Minturnae
    Minturnae was an ancient Roman town in Latium, Italy, situated along the Via Appia near the mouth of the Liris River and known for its strategic location and archaeological remains.
  • E. Diotisalvi
    Diotisalvi was a 12th-century Italian architect best known for designing notable Romanesque buildings in Pisa, including major religious monuments.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2076b48190b9c8afb4eac65f46 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c59354388190b5c2a0c1bdd14575 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c648e35881908c480b0afa383422 completed May 16, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6c6f9608190bdbcdd58f6b14008 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:43 a.m.