Triple

T10073825
Position Surface form Disambiguated ID Type / Status
Subject Neale-Wade Academy E213696 entity
Predicate servesCommunity P82 FINISHED
Object March
March is a market town and civil parish in Cambridgeshire, England, known historically as a key Fenland settlement and former inland port.
 E805002 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: March | Statement: [Neale-Wade Academy, servesCommunity, March]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: March
Context triple: [Neale-Wade Academy, servesCommunity, March]
  • A. March
    March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
  • B. March
    March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
  • C. March
    "March" is a critically acclaimed graphic memoir trilogy co-written by civil rights leader John Lewis and Andrew Aydin that chronicles Lewis's experiences in the American civil rights movement.
  • D. March
    "March" is Michael Penn's critically acclaimed 1989 debut album, known for its literate songwriting and the hit single "No Myth."
  • E. March
    March is a common surname of Spanish origin borne by various notable individuals, including Cuban revolutionary Aleida March.
  • 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: March
Triple: [Neale-Wade Academy, servesCommunity, March]
Generated description
March is a market town and civil parish in Cambridgeshire, England, known historically as a key Fenland settlement and former inland port.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: March
Target entity description: March is a market town and civil parish in Cambridgeshire, England, known historically as a key Fenland settlement and former inland port.
  • A. March chosen
    March is a market town in Cambridgeshire, England, known historically as an important railway and river port center in the Fens.
  • B. March
    March is a river in Central Europe that flows through countries including Austria, Slovakia, and the Czech Republic before joining the Danube.
  • C. March
    March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
  • D. March
    March is a common surname of Spanish origin borne by various notable individuals, including Cuban revolutionary Aleida March.
  • E. March
    "March" is a critically acclaimed graphic memoir trilogy co-written by civil rights leader John Lewis and Andrew Aydin that chronicles Lewis's experiences in the American civil rights movement.
  • F. None of above.

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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd015ad488190aee3a2bfb58fb855 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b649b7488190ad765d4ee6eac5d7 completed April 5, 2026, 7:21 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 8:59 p.m.