Triple

T25556529
Position Surface form Disambiguated ID Type / Status
Subject AGC Build America Award E640586 entity
Predicate relatedTo P37 FINISHED
Object AGC of America Safety Awards
The AGC of America Safety Awards are honors presented by the Associated General Contractors of America to recognize construction firms and projects that demonstrate outstanding commitment to workplace safety and health performance.
E1683509 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: AGC of America Safety Awards | Statement: [AGC Build America Award, relatedTo, AGC of America Safety Awards]
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: AGC of America Safety Awards
Triple: [AGC Build America Award, relatedTo, AGC of America Safety Awards]
Generated description
The AGC of America Safety Awards are honors presented by the Associated General Contractors of America to recognize construction firms and projects that demonstrate outstanding commitment to workplace safety and health performance.

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_69e75dc101a881909fd33b02174e9768 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8ca2cf48190997cd68875571217 completed May 2, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ada2f80881908a950634fadc1527 completed May 22, 2026, 7:25 p.m.
NEDg Description generation batch_6a10ae583b108190801bf4219bf2467a completed May 22, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a10af719e6c8190bbd23598b3426106 completed May 22, 2026, 7:33 p.m.
Created at: April 21, 2026, 3:40 p.m.