Triple

T29810515
Position Surface form Disambiguated ID Type / Status
Subject Town of Poestenkill, New York E756947 entity
Predicate borderedBy P224 FINISHED
Object Town of Berlin, New York
The Town of Berlin, New York, is a small rural community in eastern Rensselaer County within New York’s Capital District, known for its mountainous terrain and quiet, scenic character near the Vermont and Massachusetts borders.
E1887377 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: Town of Berlin, New York | Statement: [Town of Poestenkill, New York, borderedBy, Town of Berlin, New York]
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: Town of Berlin, New York
Triple: [Town of Poestenkill, New York, borderedBy, Town of Berlin, New York]
Generated description
The Town of Berlin, New York, is a small rural community in eastern Rensselaer County within New York’s Capital District, known for its mountainous terrain and quiet, scenic character near the Vermont and Massachusetts borders.

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_69f2245584848190ad4cab1f07752ccb completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6752de184819086c6665f614f71a6 completed May 2, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5f17d408190a95e3747dd70b447 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e732f0e0819083339b975200cb17 completed June 8, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_6a26e809c3a88190bba9c39027ab587a completed June 8, 2026, 4:04 p.m.
Created at: April 29, 2026, 5:23 p.m.