Triple

T8256017
Position Surface form Disambiguated ID Type / Status
Subject Lake Van E193071 entity
Predicate locatedNear P294 FINISHED
Object Ahlat
Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
E724087 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: Ahlat | Statement: [Lake Van, locatedNear, Ahlat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahlat
Context triple: [Lake Van, locatedNear, Ahlat]
  • A. Cabadbaran
    Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • B. Hadrut
    Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
  • C. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • D. Keban
    Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
  • E. Ayvalık
    Ayvalık is a coastal town in northwestern Turkey known for its historic Greek architecture, olive oil production, and scenic Aegean Sea views.
  • 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: Ahlat
Triple: [Lake Van, locatedNear, Ahlat]
Generated description
Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ahlat
Target entity description: Ahlat is a historic town in eastern Turkey renowned for its medieval Seljuk-era cemeteries and monuments on the northwestern shore of Lake Van.
  • A. Cabadbaran
    Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
  • B. Hadrut
    Hadrut is a town in the Nagorno-Karabakh region, historically part of the Shusha uezd, known for its strategic location and role in regional conflicts between Armenia and Azerbaijan.
  • C. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • D. Keban
    Keban is a town in eastern Turkey located near the Euphrates River, known primarily for its proximity to the large hydroelectric Keban Dam.
  • E. Ayvalık
    Ayvalık is a coastal town in northwestern Turkey known for its historic Greek architecture, olive oil production, and scenic Aegean Sea views.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78f9f680819088f1d56e0f98974f completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd681457908190b39fa034e9ca05d5 completed April 1, 2026, 6:46 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7dd65fac8190b8f44b1cf2be7bdd completed April 1, 2026, 8:19 p.m.
Created at: March 30, 2026, 5:49 p.m.