Triple

T35010387
Position Surface form Disambiguated ID Type / Status
Subject NCR Rangers E1009925 entity
Predicate hasSubdivision P747 FINISHED
Object Recon Rangers
The Recon Rangers are a specialized scouting and reconnaissance unit within the New California Republic Rangers in the Fallout universe, known for operating ahead of main forces to gather intelligence and conduct covert operations.
E2122261 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: Recon Rangers | Statement: [NCR Rangers, hasSubdivision, Recon Rangers]
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: Recon Rangers
Triple: [NCR Rangers, hasSubdivision, Recon Rangers]
Generated description
The Recon Rangers are a specialized scouting and reconnaissance unit within the New California Republic Rangers in the Fallout universe, known for operating ahead of main forces to gather intelligence and conduct covert operations.

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_69f76dcc3ac8819096a3ed52f5fa2523 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f784eef1008190b6a2b463b7f9e61d completed May 3, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd19d89c8190850a5a609fd462a8 completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bdbfc9cc819084ddf81c6fd956a7 completed June 21, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_6a37beb690cc8190909845aa686fe2f9 completed June 21, 2026, 10:36 a.m.
Created at: May 3, 2026, 4:01 p.m.