Triple

T37968873
Position Surface form Disambiguated ID Type / Status
Subject 1st New Hampshire Regiment E947222 entity
Predicate hasAlternateName P39 FINISHED
Object Stark's Regiment
Stark's Regiment was a Continental Army infantry unit from New Hampshire that fought in key early battles of the American Revolutionary War under Colonel John Stark.
E2250189 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: Stark's Regiment | Statement: [1st New Hampshire Regiment, hasAlternateName, Stark's Regiment]
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: Stark's Regiment
Triple: [1st New Hampshire Regiment, hasAlternateName, Stark's Regiment]
Generated description
Stark's Regiment was a Continental Army infantry unit from New Hampshire that fought in key early battles of the American Revolutionary War under Colonel John Stark.

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_69f76ef7db908190bba6086673a32300 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbdf879848190bee6369f75442f7f completed May 6, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41180cc48c819090af54ef63911320 completed June 28, 2026, 12:48 p.m.
NEDg Description generation batch_6a4118c6ace88190924cd9c2f25fe982 completed June 28, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_6a411acdf2088190a22120aad1f664c5 completed June 28, 2026, 12:59 p.m.
Created at: May 3, 2026, 4:20 p.m.