Triple

T25513097

Position	Surface form	Disambiguated ID	Type / Status
Subject	United States ZIP code system	`E639434`	entity
Predicate	extendedFormatName	`P103637`	FINISHED
Object	ZIP+4 ZIP+4 is an enhanced version of the standard U.S. ZIP code that adds four extra digits to more precisely identify specific delivery segments such as city blocks, buildings, or high-volume mail recipients.	`E639434`	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: ZIP+4 | Statement: [United States ZIP code system, extendedFormatName, ZIP+4]

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: ZIP+4
Triple: [United States ZIP code system, extendedFormatName, ZIP+4]

Generated description

ZIP+4 is an enhanced version of the standard U.S. ZIP code that adds four extra digits to more precisely identify specific delivery segments such as city blocks, buildings, or high-volume mail recipients.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: extendedFormatName
Context triple: [United States ZIP code system, extendedFormatName, ZIP+4]

A. expandedVersionForm chosen
Indicates that one entity is an expanded or more fully written-out version of another entity’s form.
B. codenameFormat
Indicates that an entity’s codename follows a specific prescribed format or pattern.
C. expandedForm
Indicates that one representation is the expanded or fully written-out form of another, typically decomposing it into a sum or more detailed expression.
D. registryFormat
Indicates that one entity specifies the data format or schema used for registering another entity in a registry.
E. usedFormat
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
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_69e75dbe32e48190a62d749a0ff2a96a`	completed	April 21, 2026, 11:21 a.m.
NER	Named-entity recognition	`batch_69f5f82fe30881909915c13a183be6c3`	completed	May 2, 2026, 1:12 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10ad7fad048190b5c569ef10278b40`	completed	May 22, 2026, 7:24 p.m.
NEDg	Description generation	`batch_6a10ae7ea0088190bdefa7c31fe2859d`	completed	May 22, 2026, 7:29 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10af7926d08190829ca21869a5ab66`	completed	May 22, 2026, 7:33 p.m.
PD	Predicate disambiguation	`batch_69f49377411c8190b2188de444d76795`	completed	May 1, 2026, 11:50 a.m.

Created at: April 21, 2026, 2:53 p.m.