Triple

T34989334

Position	Surface form	Disambiguated ID	Type / Status
Subject	Shady Sands region	`E1009336`	entity
Predicate	securityForcesInLore	`P44512`	FINISHED
Object	NCR militia The NCR militia is a citizen-soldier force of the New California Republic, providing local defense and law enforcement in its frontier and settled regions.	`E2121056`	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: NCR militia | Statement: [Shady Sands region, securityForcesInLore, NCR militia]

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: NCR militia
Triple: [Shady Sands region, securityForcesInLore, NCR militia]

Generated description

The NCR militia is a citizen-soldier force of the New California Republic, providing local defense and law enforcement in its frontier and settled regions.

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

Target predicate: securityForcesInLore
Context triple: [Shady Sands region, securityForcesInLore, NCR militia]

A. strengthGovernmentForces
Indicates the level or degree of military or coercive power held or exerted by government forces in a given context.
B. defenseForces chosen
Indicates a relationship where one entity serves as the military or protective force responsible for defending another entity.
C. securityTowns
Indicates a relationship where certain towns are designated, managed, or treated in terms of their security status, measures, or responsibilities.
D. safetyInFiction
Indicates that a work of fiction portrays conditions, measures, or themes related to safety, risk, or protection within its narrative world.
E. securityFigure
Indicates that one entity serves as a protective or safeguarding presence for another, typically responsible for ensuring its safety or security.
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_69f76dca50dc8190b71f39defe186be8`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fce28d6c3081908bf76f5db63ecf68`	completed	May 7, 2026, 7:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37b28628d481909fd2c5beab4c5ca4`	completed	June 21, 2026, 9:44 a.m.
NEDg	Description generation	`batch_6a37b3c955c88190989d0c2404a72ed1`	completed	June 21, 2026, 9:50 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37b51173808190a8314a275b7c87d7`	completed	June 21, 2026, 9:55 a.m.
PD	Predicate disambiguation	`batch_69fce12d2f08819082134b5eb3db6a24`	completed	May 7, 2026, 6:59 p.m.

Created at: May 3, 2026, 4:01 p.m.