Triple

T10914172
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Pennsylvania E257776 entity
Predicate hasCity P316 FINISHED
Object Hawley
Hawley is a small borough in northeastern Pennsylvania known for its historic charm and proximity to the Pocono Mountains and Lake Wallenpaupack.
 E894269 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: Hawley | Statement: [Northeastern Pennsylvania, hasCity, Hawley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hawley
Context triple: [Northeastern Pennsylvania, hasCity, Hawley]
  • A. Hawley
    Hawley is an English-language surname borne by various notable individuals in politics, academia, and other fields.
  • B. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • C. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • D. Kallahan
    Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
  • E. Harlan
    Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
  • 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: Hawley
Triple: [Northeastern Pennsylvania, hasCity, Hawley]
Generated description
Hawley is a small borough in northeastern Pennsylvania known for its historic charm and proximity to the Pocono Mountains and Lake Wallenpaupack.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hawley
Target entity description: Hawley is a small borough in northeastern Pennsylvania known for its historic charm and proximity to the Pocono Mountains and Lake Wallenpaupack.
  • A. Hawley
    Hawley is an English-language surname borne by various notable individuals in politics, academia, and other fields.
  • B. Paxton
    Paxton is a small rural village in the Scottish Borders region of southeastern Scotland.
  • C. Paxton
    Paxton is a surname most prominently associated with the late American actor and filmmaker Bill Paxton, known for his roles in films like "Twister," "Aliens," and "Titanic."
  • D. Kallahan
    Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
  • E. Harlan
    Harlan is a masculine given name of English origin, historically associated with figures such as U.S. Chief Justice Harlan F. Stone.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77073d12881908ea59771b84bc804 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216eb77dc81908c380f5fcd507275 completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8952c881908a952de83754e049 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e2247fbd348190bb0d221923dac892 completed April 17, 2026, 12:16 p.m.
Created at: April 8, 2026, 9:22 p.m.