Triple

T28062953
Position Surface form Disambiguated ID Type / Status
Subject Ciskei E709163 entity
Predicate hadOwnDefenseForce P104865 FINISHED
Object Ciskei Defence Force
The Ciskei Defence Force was the military organization of the former South African bantustan of Ciskei, operating primarily during the late apartheid era until its reintegration into South Africa in 1994.
 E1805144 NE FINISHED

How this triple was built (3 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: Ciskei Defence Force | Statement: [Ciskei, hadOwnDefenseForce, Ciskei Defence Force]
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: Ciskei Defence Force
Triple: [Ciskei, hadOwnDefenseForce, Ciskei Defence Force]
Generated description
The Ciskei Defence Force was the military organization of the former South African bantustan of Ciskei, operating primarily during the late apartheid era until its reintegration into South Africa in 1994.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hadOwnDefenseForce
Context triple: [Ciskei, hadOwnDefenseForce, Ciskei Defence Force]
  • A. hasArmedForces chosen
    Indicates that an entity possesses or maintains organized military forces under its control.
  • B. hasReserveForces
    Indicates that an entity possesses additional military or security personnel kept in reserve for potential future deployment or use.
  • C. hasOwnPoliceForce
    Indicates that an entity maintains and controls its own dedicated police force or law enforcement agency.
  • D. defenseForces
    Indicates a relationship where one entity serves as the military or protective force responsible for defending another entity.
  • E. defensiveCapability
    Indicates the ability or capacity of an entity to protect itself or others against threats, attacks, or harm.
  • F. None of above.

Provenance (6 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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d78ec1d8819088cbfa1ee9897a60 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15db1a4ac0819094b2b299c3df5516 completed May 26, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_6a15dbc8593c81908624b135c3a72029 completed May 26, 2026, 5:43 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 8:41 p.m.