Triple

T30589209
Position Surface form Disambiguated ID Type / Status
Subject New Mexico Highlands University E778604 entity
Predicate formerName P65 FINISHED
Object New Mexico Normal School
New Mexico Normal School was the original teacher-training institution that later evolved into New Mexico Highlands University in Las Vegas, New Mexico.
E1922605 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: New Mexico Normal School | Statement: [New Mexico Highlands University, formerName, New Mexico Normal School]
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: New Mexico Normal School
Triple: [New Mexico Highlands University, formerName, New Mexico Normal School]
Generated description
New Mexico Normal School was the original teacher-training institution that later evolved into New Mexico Highlands University in Las Vegas, New Mexico.

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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68979b8308190b4a5a8bc3d2282a6 completed May 2, 2026, 11:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863d29ec48190a75a0d747ae66c95 completed June 9, 2026, 7:04 p.m.
NEDg Description generation batch_6a2864855ae08190b4e2eab3ae354196 completed June 9, 2026, 7:07 p.m.
NED2 Entity disambiguation (via description) batch_6a2864fb9b448190b3bc964008f932a2 completed June 9, 2026, 7:09 p.m.
Created at: April 29, 2026, 8:24 p.m.