Triple

T14760644
Position Surface form Disambiguated ID Type / Status
Subject Parwan Province E346849 entity
Predicate hasNotableTown P14082 FINISHED
Object Ghorband
Ghorband is a notable town in Afghanistan’s Parwan Province, known for its location in a fertile valley northwest of Kabul.
 E1119619 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: Ghorband | Statement: [Parwan Province, hasNotableTown, Ghorband]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ghorband
Context triple: [Parwan Province, hasNotableTown, Ghorband]
  • A. Ghor
    Ghor is a low-lying, fertile region within the Jordan Rift Valley known for its agricultural lands and proximity to the Jordan River.
  • B. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • C. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • D. Khandhar
    Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
  • E. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • 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: Ghorband
Triple: [Parwan Province, hasNotableTown, Ghorband]
Generated description
Ghorband is a notable town in Afghanistan’s Parwan Province, known for its location in a fertile valley northwest of Kabul.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ghorband
Target entity description: Ghorband is a notable town in Afghanistan’s Parwan Province, known for its location in a fertile valley northwest of Kabul.
  • A. Ghor
    Ghor is a low-lying, fertile region within the Jordan Rift Valley known for its agricultural lands and proximity to the Jordan River.
  • B. Khar
    Khar is a town in northwestern Pakistan that serves as the administrative and commercial center of the Bajaur region in Khyber Pakhtunkhwa.
  • C. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • D. Khandhar
    Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
  • E. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cefb7c08190bf69b15165f046d0 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe1a0e2820819092abfc2795ba4851 completed May 8, 2026, 5:14 p.m.
NED2 Entity disambiguation (via description) batch_69fe1a89d4d08190a2be8b4b0bc5a472 completed May 8, 2026, 5:16 p.m.
Created at: April 10, 2026, 1:30 a.m.