Triple

T3080094
Position Surface form Disambiguated ID Type / Status
Subject Berwickshire E64234 entity
Predicate formerCountyTown P13121 FINISHED
Object Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
 E324590 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: Greenlaw | Statement: [Berwickshire, formerCountyTown, Greenlaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenlaw
Context triple: [Berwickshire, formerCountyTown, Greenlaw]
  • A. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • B. Goodwin
    Goodwin is the surname of American actress Ginnifer Goodwin, known for her roles in "Once Upon a Time" and "Big Love."
  • C. Goodwin
    Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
  • D. Blakely
    Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
  • E. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • 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: Greenlaw
Triple: [Berwickshire, formerCountyTown, Greenlaw]
Generated description
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenlaw
Target entity description: Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
  • A. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • B. Goodwin
    Goodwin is the surname of American actress Ginnifer Goodwin, known for her roles in "Once Upon a Time" and "Big Love."
  • C. Goodwin
    Goodwin is a masculine given name most notably borne by Goodwin Knight, who served as the 31st governor of California in the mid-20th century.
  • D. Blakely
    Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
  • E. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a9d61081909953eb2f4ad4537e completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89443a4819091dafc560b45cc26 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f93d5b208190835093f453fd33ab completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9ea9b908190a86e2b79a89e0283 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.