Triple

T34823953
Position Surface form Disambiguated ID Type / Status
Subject Jauharabad E1003863 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Government Degree College Jauharabad
Government Degree College Jauharabad is a public higher education institution in Jauharabad, Pakistan, offering undergraduate degree programs to local students.
E2113817 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: Government Degree College Jauharabad | Statement: [Jauharabad, hasEducationalInstitution, Government Degree College Jauharabad]
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: Government Degree College Jauharabad
Triple: [Jauharabad, hasEducationalInstitution, Government Degree College Jauharabad]
Generated description
Government Degree College Jauharabad is a public higher education institution in Jauharabad, Pakistan, offering undergraduate degree programs to local students.

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_69f76db717088190811b4e744610f37d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77adf71d88190812e930bcf1e2ce5 completed May 3, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fbd7748819090f4e61d519400d3 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a377103757881909527bca6cec85d51 completed June 21, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_6a37719691ac8190bc3ad20af00b1cf2 completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 4 p.m.