Triple

T37699503
Position Surface form Disambiguated ID Type / Status
Subject Caretaker Prime Minister of Pakistan E939018 entity
Predicate residence P75 FINISHED
Object Prime Minister House, Islamabad
Prime Minister House, Islamabad is the official residence and principal workplace of Pakistan’s prime minister, located in the capital city of Islamabad.
E2239121 NE FINISHED

How this triple was built (2 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: Prime Minister House, Islamabad | Statement: [Caretaker Prime Minister of Pakistan, residence, Prime Minister House, Islamabad]
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: Prime Minister House, Islamabad
Triple: [Caretaker Prime Minister of Pakistan, residence, Prime Minister House, Islamabad]
Generated description
Prime Minister House, Islamabad is the official residence and principal workplace of Pakistan’s prime minister, located in the capital city of Islamabad.

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_69f76eda6ae48190b3111071eeacc038 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbae24d73c8190a18e983c7789e3c7 completed May 6, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40cdc4b2b48190b0282daf20d27793 completed June 28, 2026, 7:31 a.m.
NEDg Description generation batch_6a40ce7402cc8190abf4f70571b98544 completed June 28, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a40d066df1481908f66e684e88b8380 completed June 28, 2026, 7:42 a.m.
Created at: May 3, 2026, 4:18 p.m.