Triple

T37760386
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Route 42 E941248 entity
Predicate near P350 FINISHED
Object Centralia mine fire area
The Centralia mine fire area is an abandoned Pennsylvania coal mining town site where an underground coal seam fire has been burning since 1962, leading to the evacuation and demolition of nearly all structures.
 E2241439 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: Centralia mine fire area | Statement: [Pennsylvania Route 42, near, Centralia mine fire area]
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: Centralia mine fire area
Triple: [Pennsylvania Route 42, near, Centralia mine fire area]
Generated description
The Centralia mine fire area is an abandoned Pennsylvania coal mining town site where an underground coal seam fire has been burning since 1962, leading to the evacuation and demolition of nearly all structures.

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_69f76ee3251881909bb4451aad50752b completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaef947488190837b9cc9d8c9bde9 completed May 6, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40e08113048190a0e2837235d3fe26 completed June 28, 2026, 8:51 a.m.
NEDg Description generation batch_6a40e113a9748190a97d3bb3bf42a626 completed June 28, 2026, 8:53 a.m.
NED2 Entity disambiguation (via description) batch_6a40e1c418d08190b453aab8f9cc2b89 completed June 28, 2026, 8:56 a.m.
Created at: May 3, 2026, 4:19 p.m.