Triple

T9182908
Position Surface form Disambiguated ID Type / Status
Subject Madawaska, Maine E220377 entity
Predicate borders P224 FINISHED
Object T16 R5 WELS, Maine
T16 R5 WELS, Maine is an unorganized township in Aroostook County known primarily as a sparsely populated, forested area used for logging and outdoor recreation.
E783036 NE FINISHED

How this triple was built (4 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: T16 R5 WELS, Maine | Statement: [Madawaska, Maine, borders, T16 R5 WELS, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: T16 R5 WELS, Maine
Context triple: [Madawaska, Maine, borders, T16 R5 WELS, Maine]
  • A. Westfield, Maine
    Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
  • B. Woolwich, Maine
    Woolwich, Maine is a small coastal town in Sagadahoc County known for its early colonial history and shipbuilding heritage along the Kennebec River.
  • C. Ludlow, Maine
    Ludlow, Maine is a small rural town located in northern Maine within Aroostook County.
  • D. Wells, Maine
    Wells, Maine is a historic coastal town in southern Maine known for its long sandy beaches and role as a popular summer vacation destination.
  • E. Mars Hill, Maine
    Mars Hill, Maine is a small town in northern Aroostook County known for its agricultural landscape and the Mars Hill Mountain wind farm.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: T16 R5 WELS, Maine
Triple: [Madawaska, Maine, borders, T16 R5 WELS, Maine]
Generated description
T16 R5 WELS, Maine is an unorganized township in Aroostook County known primarily as a sparsely populated, forested area used for logging and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: T16 R5 WELS, Maine
Target entity description: T16 R5 WELS, Maine is an unorganized township in Aroostook County known primarily as a sparsely populated, forested area used for logging and outdoor recreation.
  • A. Westfield, Maine
    Westfield, Maine is a small rural town located in northern Maine within Aroostook County.
  • B. Woolwich, Maine
    Woolwich, Maine is a small coastal town in Sagadahoc County known for its early colonial history and shipbuilding heritage along the Kennebec River.
  • C. Ludlow, Maine
    Ludlow, Maine is a small rural town located in northern Maine within Aroostook County.
  • D. Wells, Maine
    Wells, Maine is a historic coastal town in southern Maine known for its long sandy beaches and role as a popular summer vacation destination.
  • E. Mars Hill, Maine
    Mars Hill, Maine is a small town in northern Aroostook County known for its agricultural landscape and the Mars Hill Mountain wind farm.
  • F. None of above. chosen

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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc2553e548190898434aeda517407 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1474a08190aa3e3e90326a20d1 completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05ca2a3f881909ed9193560b5b0cd completed April 4, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69d05d4191f8819083c0ae2a68059c93 completed April 4, 2026, 12:37 a.m.
Created at: March 30, 2026, 7:23 p.m.