Triple

T25942167
Position Surface form Disambiguated ID Type / Status
Subject Fonda, New York E653734 entity
Predicate hasPublicBuilding P105 FINISHED
Object Montgomery County Office Building
The Montgomery County Office Building is a government facility in Fonda, New York that houses the administrative offices and services of Montgomery County.
E1705590 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: Montgomery County Office Building | Statement: [Fonda, New York, hasPublicBuilding, Montgomery County Office Building]
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: Montgomery County Office Building
Triple: [Fonda, New York, hasPublicBuilding, Montgomery County Office Building]
Generated description
The Montgomery County Office Building is a government facility in Fonda, New York that houses the administrative offices and services of Montgomery County.

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_69e7ab3fd2f881908837305e4ba98011 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6045ec5708190917d60774389e68c completed May 2, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1107745e248190890a67b6627831a4 completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a11082bcf9c8190a80f0ed23b79a823 completed May 23, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_6a110c2ac828819088a7a9feb579e6e6 completed May 23, 2026, 2:08 a.m.
Created at: April 22, 2026, 8:40 a.m.