Triple

T23744006
Position Surface form Disambiguated ID Type / Status
Subject Popular Mobilization Forces E586761 entity
Predicate alliedWith P37 FINISHED
Object Iraqi Federal Police
The Iraqi Federal Police is a national gendarmerie-style force responsible for internal security, counterinsurgency, and law enforcement across Iraq, operating under the Ministry of Interior.
E143601 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: Iraqi Federal Police | Statement: [Popular Mobilization Forces, alliedWith, Iraqi Federal Police]
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: Iraqi Federal Police
Triple: [Popular Mobilization Forces, alliedWith, Iraqi Federal Police]
Generated description
The Iraqi Federal Police is a national gendarmerie-style force responsible for internal security, counterinsurgency, and law enforcement across Iraq, operating under the Ministry of Interior.

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_69e24908efb08190bf755c3a9b91f222 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bcbbcf988190b56d74af4b126bd8 completed April 29, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f53cd53bc819083234646e30707f5 completed May 21, 2026, 6:49 p.m.
NEDg Description generation batch_6a0f5558f50c8190a268fbcde798512e completed May 21, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0f56691aa08190b46a9ad2c3dce1d0 completed May 21, 2026, 7 p.m.
Created at: April 17, 2026, 7:12 p.m.