Triple

T27636265
Position Surface form Disambiguated ID Type / Status
Subject Dracut town government E696475 entity
Predicate oversees P46 FINISHED
Object Dracut Department of Public Works
The Dracut Department of Public Works is the municipal agency responsible for maintaining and managing the town of Dracut’s infrastructure and public services, such as roads, water, and sanitation.
E1784733 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: Dracut Department of Public Works | Statement: [Dracut town government, oversees, Dracut Department of Public Works]
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: Dracut Department of Public Works
Triple: [Dracut town government, oversees, Dracut Department of Public Works]
Generated description
The Dracut Department of Public Works is the municipal agency responsible for maintaining and managing the town of Dracut’s infrastructure and public services, such as roads, water, and sanitation.

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_69ef5909f3848190805f35b76833e722 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f63127da048190aed144e27b34e24e completed May 2, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da8ab2248190980616df9a4e3266 completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12db0cb9648190b394ef4009fda2b4 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12dbf956748190a6763112e384f761 completed May 24, 2026, 11:07 a.m.
Created at: April 27, 2026, 2:24 p.m.