Triple

T612146
Position Surface form Disambiguated ID Type / Status
Subject Mount Kilimanjaro E12121 entity
Predicate hasVolcanicCone P6356 FINISHED
Object Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
 E78469 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: Shira | Statement: [Mount Kilimanjaro, hasVolcanicCone, Shira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shira
Context triple: [Mount Kilimanjaro, hasVolcanicCone, Shira]
  • A. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shere
    Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
  • D. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • E. Ahirani
    Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
  • 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: Shira
Triple: [Mount Kilimanjaro, hasVolcanicCone, Shira]
Generated description
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shira
Target entity description: Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • A. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • C. Shere
    Shere is a picturesque village in Surrey, England, known for its historic buildings, scenic countryside setting, and frequent use as a filming location.
  • D. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • E. Ahirani
    Ahirani is an Indo-Aryan dialect spoken primarily in the Khandesh region of Maharashtra, India, closely related to Marathi but with distinct phonological and lexical features.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a514b514819088e7b6b7e4675905 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a566ff095081909a897d3001955514 completed March 2, 2026, 10:31 a.m.
NEDg Description generation batch_69a567fa633881909a18c4530c3342e8 completed March 2, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_69a5687af6f48190af5a5424ca7da9c8 completed March 2, 2026, 10:37 a.m.
Created at: March 1, 2026, 7:35 p.m.