Triple

T12696067
Position Surface form Disambiguated ID Type / Status
Subject Bannu Basin E303336 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Akra
Akra is an important archaeological site in Pakistan’s Khyber Pakhtunkhwa region, known for its ancient settlement remains that shed light on the early history and culture of the Bannu Basin.
 E998301 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: Akra | Statement: [Bannu Basin, hasArchaeologicalSite, Akra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akra
Context triple: [Bannu Basin, hasArchaeologicalSite, Akra]
  • A. Ganta
    Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
  • B. Akuku
    Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
  • C. Atil
    Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
  • D. Oria
    Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland 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: Akra
Triple: [Bannu Basin, hasArchaeologicalSite, Akra]
Generated description
Akra is an important archaeological site in Pakistan’s Khyber Pakhtunkhwa region, known for its ancient settlement remains that shed light on the early history and culture of the Bannu Basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akra
Target entity description: Akra is an important archaeological site in Pakistan’s Khyber Pakhtunkhwa region, known for its ancient settlement remains that shed light on the early history and culture of the Bannu Basin.
  • A. Ganta
    Ganta is a major commercial hub and rapidly growing city in northeastern Liberia, located near the border with Guinea.
  • B. Akuku
    Akuku is a settlement located within the Akoko-Edo area of Edo State in southern Nigeria.
  • C. Atil
    Atil was the principal city and political center of the Khazar Khaganate, serving as a major commercial hub on the lower Volga River in the early medieval period.
  • D. Oria
    Oria is a historic town in Italy’s Apulia region, known for its medieval castle, ancient Messapian roots, and well-preserved old town.
  • E. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6740129688190b286ce7acb4848c7 completed May 2, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69f675249d248190933421df49d3a2ab completed May 2, 2026, 10:05 p.m.
Created at: April 9, 2026, 5:22 p.m.