Triple

T30352192
Position Surface form Disambiguated ID Type / Status
Subject Lincoln, NE Metropolitan Statistical Area E772024 entity
Predicate containsCity P294 FINISHED
Object Martell, Nebraska
Martell, Nebraska is a small unincorporated community in Lancaster County that forms part of the greater Lincoln metropolitan area.
E2003561 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: Martell, Nebraska | Statement: [Lincoln, NE Metropolitan Statistical Area, containsCity, Martell, Nebraska]
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: Martell, Nebraska
Triple: [Lincoln, NE Metropolitan Statistical Area, containsCity, Martell, Nebraska]
Generated description
Martell, Nebraska is a small unincorporated community in Lancaster County that forms part of the greater Lincoln metropolitan area.

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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6823beafc81909d1cbfd11065be16 completed May 2, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a33e87559e88190b8ef201f892189c1 completed June 18, 2026, 12:45 p.m.
NEDg Description generation batch_6a33e954d89881908ea05c9e466780fa completed June 18, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a342c695e348190957d2cf24a4bc080 completed June 18, 2026, 5:35 p.m.
Created at: April 29, 2026, 7:56 p.m.