Triple

T29154940
Position Surface form Disambiguated ID Type / Status
Subject Jakarta EE application server E739009 entity
Predicate implements P1417 FINISHED
Object Jakarta Web Profile
Jakarta Web Profile is a subset of the Jakarta EE platform that defines a streamlined set of web-focused APIs for building lightweight enterprise Java web applications.
E1854591 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: Jakarta Web Profile | Statement: [Jakarta EE application server, implements, Jakarta Web Profile]
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: Jakarta Web Profile
Triple: [Jakarta EE application server, implements, Jakarta Web Profile]
Generated description
Jakarta Web Profile is a subset of the Jakarta EE platform that defines a streamlined set of web-focused APIs for building lightweight enterprise Java web applications.

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_69f07cb46f148190874eb8576a447567 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662a87a6c8190b623bacb42af0097 completed May 2, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25506b76f8819091a5e0e651978384 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a25549cc6548190937807666cda7b6f completed June 7, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a255fff7c98819080aa4713ce278a9c completed June 7, 2026, 12:11 p.m.
Created at: April 28, 2026, 11:44 a.m.