Triple

T35168771
Position Surface form Disambiguated ID Type / Status
Subject Florida Avenue NE E1015481 entity
Predicate followsEdgeOf P31590 FINISHED
Object L'Enfant City
L'Enfant City is the original, formally planned core of Washington, D.C., designed in the late 18th century by Pierre Charles L’Enfant with a distinctive grid-and-diagonal avenue layout.
 E2127521 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: L'Enfant City | Statement: [Florida Avenue NE, followsEdgeOf, L'Enfant City]
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: L'Enfant City
Triple: [Florida Avenue NE, followsEdgeOf, L'Enfant City]
Generated description
L'Enfant City is the original, formally planned core of Washington, D.C., designed in the late 18th century by Pierre Charles L’Enfant with a distinctive grid-and-diagonal avenue layout.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: followsEdgeOf
Context triple: [Florida Avenue NE, followsEdgeOf, L'Enfant City]
  • A. formsEdgeOf chosen
    Indicates that one entity constitutes a boundary or outer limit of another entity.
  • B. followsRouteOf
    Indicates that one entity travels along the same path or route that another entity takes or has taken.
  • C. followsIn
    Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
  • D. followsBetween
    Indicates that one entity comes after or succeeds another entity within a specified context or sequence.
  • E. followsFrom
    Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
  • 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_69f76ddbfde081908bffc91572368289 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fef5cf8da881908260ec633830375d completed May 9, 2026, 8:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37d96f73848190a28182590c056499 completed June 21, 2026, 12:30 p.m.
NEDg Description generation batch_6a37dbce092c81908ded9e525a778907 completed June 21, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a37dc0c0a5081908ce1002b7181b433 completed June 21, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69fef455e40481909861c82007b79bc0 completed May 9, 2026, 8:46 a.m.
Created at: May 3, 2026, 4:02 p.m.