Triple
T36849655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Counter Terrorism Authority of Pakistan |
E910640
|
entity |
| Predicate | responsibleFor |
P636
|
FINISHED |
| Object |
National Counter Terrorism Strategy of Pakistan
The National Counter Terrorism Strategy of Pakistan is the federal government’s comprehensive policy framework that outlines legal, operational, intelligence, and socio-economic measures to prevent and combat terrorism and violent extremism across the country.
|
E910640
|
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: National Counter Terrorism Strategy of Pakistan | Statement: [National Counter Terrorism Authority of Pakistan, responsibleFor, National Counter Terrorism Strategy 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: National Counter Terrorism Strategy of Pakistan Triple: [National Counter Terrorism Authority of Pakistan, responsibleFor, National Counter Terrorism Strategy of Pakistan]
Generated description
The National Counter Terrorism Strategy of Pakistan is the federal government’s comprehensive policy framework that outlines legal, operational, intelligence, and socio-economic measures to prevent and combat terrorism and violent extremism across the country.
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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cfaad5488190aaae8e7ee03c5191 |
completed | May 3, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dde7a4e90819097a54197a6bb4a3d |
completed | June 26, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_6a3de387035881908df747ec23d9e3cb |
completed | June 26, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3dee75875881908c3f34cbd60945a9 |
completed | June 26, 2026, 3:13 a.m. |
Created at: May 3, 2026, 4:13 p.m.