Triple

T26535503
Position Surface form Disambiguated ID Type / Status
Subject Chalk Farm Underground station E671232 entity
Predicate hasMapCode P193459 FINISHED
Object TFL station CFM
TFL station CFM is the Transport for London station code assigned to Chalk Farm Underground station on the Northern line in north London.
 E1728899 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: TFL station CFM | Statement: [Chalk Farm Underground station, hasMapCode, TFL station CFM]
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: TFL station CFM
Triple: [Chalk Farm Underground station, hasMapCode, TFL station CFM]
Generated description
TFL station CFM is the Transport for London station code assigned to Chalk Farm Underground station on the Northern line in north London.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMapCode
Context triple: [Chalk Farm Underground station, hasMapCode, TFL station CFM]
  • A. hasMaps
    Indicates that one entity possesses, includes, or provides access to one or more maps associated with another entity.
  • B. hasMapRegion
    Indicates that an entity is associated with, or belongs to, a specific geographic or logical map region.
  • C. hasMapframe
    Indicates that an entity is associated with an embedded, interactive map frame representation of its geographic location or area.
  • D. hasMapType
    Indicates that one entity is associated with a specific type or category of map.
  • E. canMap
    Indicates that one entity is able to be mapped or transformed systematically into another entity or representation.
  • F. None of above. chosen

Provenance (7 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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69fd485f57dc8190820365396d041991 completed May 8, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11bb50e65c8190a0de5cdf54e5f227 completed May 23, 2026, 2:36 p.m.
NEDg Description generation batch_6a11be7383f8819080e9eac79cf66e5e completed May 23, 2026, 2:49 p.m.
NED2 Entity disambiguation (via description) batch_6a11c02630cc81908b494c66f63abf6b completed May 23, 2026, 2:56 p.m.
PD Predicate disambiguation batch_69fd47d35da081908bec8901018d186c completed May 8, 2026, 2:17 a.m.
PDg Predicate description generation batch_69fd485e0c20819099756b4fe39ac326 completed May 8, 2026, 2:20 a.m.
Created at: April 27, 2026, 1:38 a.m.