Triple

T25400439
Position Surface form Disambiguated ID Type / Status
Subject Harlow Town E636402 entity
Predicate servesNewTown P104901 FINISHED
Object Harlow New Town
Harlow New Town is a post-World War II planned community in Essex, England, developed to accommodate population overspill from London with modern housing, infrastructure, and green spaces.
 E1684006 NE FINISHED

How this triple was built (3 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: Harlow New Town | Statement: [Harlow Town, servesNewTown, Harlow New Town]
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: Harlow New Town
Triple: [Harlow Town, servesNewTown, Harlow New Town]
Generated description
Harlow New Town is a post-World War II planned community in Essex, England, developed to accommodate population overspill from London with modern housing, infrastructure, and green spaces.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: servesNewTown
Context triple: [Harlow Town, servesNewTown, Harlow New Town]
  • A. servesTownship
    Indicates that an entity provides official services or administrative functions to a particular township.
  • B. townServed chosen
    Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
  • C. servesVillage
    Indicates that an entity provides services, support, or functions that benefit or are directed toward a particular village.
  • D. servesCountyTown
    Indicates that an entity (such as a service, office, or facility) provides coverage or service to a specified county or town.
  • E. partOfNewTown
    Indicates that an entity is a constituent or included component of a newly established town or urban development.
  • F. None of above.

Provenance (6 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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f6978fe97081908fe568091ad9b159 completed May 3, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad53e5a08190887f36cb99412ef2 completed May 22, 2026, 7:24 p.m.
NEDg Description generation batch_6a10adf21b3c8190a7388b1a74faf65e completed May 22, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_6a10af62078481908759f9df2167d81f completed May 22, 2026, 7:32 p.m.
PD Predicate disambiguation batch_69f69661e6ec8190948251c7516a32ad completed May 3, 2026, 12:27 a.m.
Created at: April 21, 2026, 1:50 p.m.