Triple

T33393883

Position	Surface form	Disambiguated ID	Type / Status
Subject	U.S. Army firearms	`E855119`	entity
Predicate	maintenancePerformedBy	`P182775`	FINISHED
Object	U.S. Army armorers U.S. Army armorers are specialized military personnel responsible for inspecting, repairing, and maintaining the Army’s small arms and related weapons systems to ensure they remain safe and operational.	`E589243`	NE FINISHED

How this triple was built (3 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: U.S. Army armorers | Statement: [U.S. Army firearms, maintenancePerformedBy, U.S. Army armorers]

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: U.S. Army armorers
Triple: [U.S. Army firearms, maintenancePerformedBy, U.S. Army armorers]

Generated description

U.S. Army armorers are specialized military personnel responsible for inspecting, repairing, and maintaining the Army’s small arms and related weapons systems to ensure they remain safe and operational.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: maintenancePerformedBy
Context triple: [U.S. Army firearms, maintenancePerformedBy, U.S. Army armorers]

A. maintenanceOrganization chosen
Indicates the organization responsible for performing or overseeing maintenance activities on the associated entity.
B. maintenanceType
Indicates the specific category or kind of maintenance activity associated with an entity or relationship.
C. maintenanceAuthority
Indicates that one entity has the responsibility or official power to maintain, service, or keep another entity in proper working condition.
D. hasMaintenanceService
Indicates that an entity receives or is covered by a maintenance service provided by another entity.
E. hasMaintenance
Indicates that an entity is subject to, associated with, or requires a particular maintenance activity or maintenance record.
F. None of above.

Provenance (6 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_69f3496e3f1c8190bcecfa82aa9d17ff`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_69f7c29e1b848190b945c6c6120a5330`	completed	May 3, 2026, 9:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3576f1b91881908ff563d9c69e150b`	completed	June 19, 2026, 5:05 p.m.
NEDg	Description generation	`batch_6a3579d851108190a0abbaac8db8b9c6`	completed	June 19, 2026, 5:18 p.m.
NED2	Entity disambiguation (via description)	`batch_6a357a37b08481908bd9fd5c1eb65cb9`	completed	June 19, 2026, 5:19 p.m.
PD	Predicate disambiguation	`batch_69f7c1b6e7a881908deb96bedb2713f4`	completed	May 3, 2026, 9:44 p.m.

Created at: May 1, 2026, 1:35 a.m.