Triple

T10301119
Position Surface form Disambiguated ID Type / Status
Subject Farah Province E241629 entity
Predicate hasSettlement P1068 FINISHED
Object Qala i Kah
Qala i Kah is a town that serves as a local settlement within Afghanistan's western Farah Province.
 E857228 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 i Kah | Statement: [Farah Province, hasSettlement, Qala i Kah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qala i Kah
Context triple: [Farah Province, hasSettlement, Qala i Kah]
  • A. Qala
    Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
  • B. Qalat
    Qalat is a key urban center and provincial capital in southern Afghanistan, known for its strategic location and historical fortifications.
  • C. Qala-e Naw
    Qala-e Naw is a small city in northwestern Afghanistan that serves as the capital of Badghis Province.
  • D. Sultan Kala
    Sultan Kala is the medieval walled urban core of the ancient oasis city of Merv in present-day Turkmenistan, notable for its extensive ruins and historical significance along the Silk Road.
  • E. Musa Qala
    Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
  • 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 i Kah
Triple: [Farah Province, hasSettlement, Qala i Kah]
Generated description
Qala i Kah is a town that serves as a local settlement within Afghanistan's western Farah Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qala i Kah
Target entity description: Qala i Kah is a town that serves as a local settlement within Afghanistan's western Farah Province.
  • A. Qala
    Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
  • B. Qalat
    Qalat is a key urban center and provincial capital in southern Afghanistan, known for its strategic location and historical fortifications.
  • C. Qala-e Naw
    Qala-e Naw is a small city in northwestern Afghanistan that serves as the capital of Badghis Province.
  • D. Sultan Kala
    Sultan Kala is the medieval walled urban core of the ancient oasis city of Merv in present-day Turkmenistan, notable for its extensive ruins and historical significance along the Silk Road.
  • E. Musa Qala
    Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7501f76e081908a7509a877c72b82 completed April 9, 2026, 7:07 a.m.
NEDg Description generation batch_69d751fce6ac81909c9a669bf4827cb3 completed April 9, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: April 6, 2026, 11:44 a.m.