Triple

T10380758
Position Surface form Disambiguated ID Type / Status
Subject Hamedan Province E244633 entity
Predicate hasCity P316 FINISHED
Object Asadabad
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
E874727 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: Asadabad | Statement: [Hamedan Province, hasCity, Asadabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asadabad
Context triple: [Hamedan Province, hasCity, Asadabad]
  • A. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • B. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • C. Astarabad
    Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
  • D. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • E. Nazarabad
    Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
  • 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: Asadabad
Triple: [Hamedan Province, hasCity, Asadabad]
Generated description
Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asadabad
Target entity description: Asadabad is a city in western Iran that serves as an administrative and population center within Hamedan Province.
  • A. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • B. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • C. Astarabad
    Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
  • D. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • E. Nazarabad
    Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d95e4aef148190be58486605f85f77 completed April 10, 2026, 8:32 p.m.
NEDg Description generation batch_69d95f508b6481909405f0404246c69e completed April 10, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69d9600a29808190af583d2fd696ec6a completed April 10, 2026, 8:39 p.m.
Created at: April 6, 2026, 12:03 p.m.