Triple
T38462447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pakhtunkhwa Police |
E912485
|
entity |
| Predicate | cooperatesWith |
P435
|
FINISHED |
| Object |
Intelligence agencies of Pakistan
The intelligence agencies of Pakistan are a network of civilian and military organizations responsible for gathering, analyzing, and acting on domestic and foreign intelligence to safeguard national security and counter internal and external threats.
|
E1211143
|
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: Intelligence agencies of Pakistan | Statement: [Khyber Pakhtunkhwa Police, cooperatesWith, Intelligence agencies of Pakistan]
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: Intelligence agencies of Pakistan Triple: [Khyber Pakhtunkhwa Police, cooperatesWith, Intelligence agencies of Pakistan]
Generated description
The intelligence agencies of Pakistan are a network of civilian and military organizations responsible for gathering, analyzing, and acting on domestic and foreign intelligence to safeguard national security and counter internal and external threats.
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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce2c2b4c8190bd600142f771efdb |
completed | May 7, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ccb2dac48190bc626dc3c378d6b4 |
completed | June 29, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a41ce2e041881908e0a5d6dd80c06cb |
completed | June 29, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ceaec9a48190bd08361fd7b3362b |
completed | June 29, 2026, 1:47 a.m. |
Created at: May 3, 2026, 4:31 p.m.