Triple

T2055960
Position Surface form Disambiguated ID Type / Status
Subject Western Afghanistan E45674 entity
Predicate hasMajorCity P316 FINISHED
Object Qala-e Naw
Qala-e Naw is a small city in northwestern Afghanistan that serves as the capital of Badghis Province.
 E230518 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: Qala-e Naw | Statement: [Western Afghanistan, hasMajorCity, Qala-e Naw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qala-e Naw
Context triple: [Western Afghanistan, hasMajorCity, Qala-e Naw]
  • A. Qalat
    Qalat is a key urban center and provincial capital in southern Afghanistan, known for its strategic location and historical fortifications.
  • B. Banawali
    Banawali is an archaeological site in Haryana, India, known for its well-preserved remains of the Indus Valley Civilization, including planned settlements and distinctive Harappan artifacts.
  • C. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • D. Wazirabad
    Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
  • E. Nowshera
    Nowshera is a city in northern Pakistan known as an important commercial and military center in the Khyber Pakhtunkhwa 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: Qala-e Naw
Triple: [Western Afghanistan, hasMajorCity, Qala-e Naw]
Generated description
Qala-e Naw is a small city in northwestern Afghanistan that serves as the capital of Badghis Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qala-e Naw
Target entity description: Qala-e Naw is a small city in northwestern Afghanistan that serves as the capital of Badghis Province.
  • A. Qalat
    Qalat is a key urban center and provincial capital in southern Afghanistan, known for its strategic location and historical fortifications.
  • B. Banawali
    Banawali is an archaeological site in Haryana, India, known for its well-preserved remains of the Indus Valley Civilization, including planned settlements and distinctive Harappan artifacts.
  • C. Umarkot
    Umarkot is a historic town in the Sindh province of Pakistan, traditionally known as the birthplace of the Mughal emperor Akbar.
  • D. Wazirabad
    Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
  • E. Nowshera
    Nowshera is a city in northern Pakistan known as an important commercial and military center in the Khyber Pakhtunkhwa 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9a9ce548190a5a3488fafb2e79e completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae271cb26c81908664f4c26f4fb5ea completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28155ec8819097741dcfd3d81110 completed March 9, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae2889503c8190bc72e786c656edf3 completed March 9, 2026, 1:55 a.m.
Created at: March 4, 2026, 7:40 p.m.