Triple

T17825825
Position Surface form Disambiguated ID Type / Status
Subject Balkh Province E445114 entity
Predicate hasMajorCity P316 FINISHED
Object Dehdadi
Dehdadi is a town and district center in northern Afghanistan that serves as an important local hub within Balkh Province.
 E1289405 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: Dehdadi | Statement: [Balkh Province, hasMajorCity, Dehdadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dehdadi
Context triple: [Balkh Province, hasMajorCity, Dehdadi]
  • A. Derabish
    Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
  • B. Hezir
    Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
  • C. Behdini
    Behdini is a Northern Kurdish (Kurmanji) dialect spoken primarily by Kurdish communities in and around the Dohuk region of Iraqi Kurdistan.
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Badiʿ
    Badiʿ is a classical Arabic rhetorical concept focused on innovative and ornamental stylistic devices used to enhance eloquence in speech and writing.
  • 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: Dehdadi
Triple: [Balkh Province, hasMajorCity, Dehdadi]
Generated description
Dehdadi is a town and district center in northern Afghanistan that serves as an important local hub within Balkh Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dehdadi
Target entity description: Dehdadi is a town and district center in northern Afghanistan that serves as an important local hub within Balkh Province.
  • A. Derabish
    Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
  • B. Hezir
    Hezir is a biblical figure listed among the priestly families of ancient Israel, associated with the Benei Hezir priestly division.
  • C. Behdini
    Behdini is a Northern Kurdish (Kurmanji) dialect spoken primarily by Kurdish communities in and around the Dohuk region of Iraqi Kurdistan.
  • D. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • E. Badiʿ
    Badiʿ is a classical Arabic rhetorical concept focused on innovative and ornamental stylistic devices used to enhance eloquence in speech and writing.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48914226c819083edcc78e00b2d42 completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6d07308190bcf6c959204f89a6 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03003084fc8190b7272f7d2e0735d7 completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300e885e481909c76dfbac2fd1009 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.