Triple

T5336143
Position Surface form Disambiguated ID Type / Status
Subject Helmand Province E123830 entity
Predicate containsCity P294 FINISHED
Object Nad Ali
Nad Ali is a town and district in southern Afghanistan known for its agricultural landscape and irrigation projects within Helmand Province.
E512989 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: Nad Ali | Statement: [Helmand Province, containsCity, Nad Ali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nad Ali
Context triple: [Helmand Province, containsCity, Nad Ali]
  • A. Abdul Ali
    Abdul Ali is a kind-hearted Pakistani migrant worker and key supporting character in the South Korean series "Squid Game."
  • B. Munir
    Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • C. Naeem
    Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
  • D. Asad Allah
    Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
  • E. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • 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: Nad Ali
Triple: [Helmand Province, containsCity, Nad Ali]
Generated description
Nad Ali is a town and district in southern Afghanistan known for its agricultural landscape and irrigation projects within Helmand Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nad Ali
Target entity description: Nad Ali is a town and district in southern Afghanistan known for its agricultural landscape and irrigation projects within Helmand Province.
  • A. Abdul Ali
    Abdul Ali is a kind-hearted Pakistani migrant worker and key supporting character in the South Korean series "Squid Game."
  • B. Munir
    Munir is a masculine given name of Arabic origin meaning "illuminating" or "bright."
  • C. Naeem
    Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
  • D. Asad Allah
    Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
  • E. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85b104c081908b81236a0142e1c8 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18be4bb88190a2b83e51716e677e completed March 21, 2026, 10:16 p.m.
NEDg Description generation batch_69bf194c53a48190b0895bbe9aa2f6f1 completed March 21, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a198418819089b25102733f9191 completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 2 p.m.