Triple

T24339501

Position	Surface form	Disambiguated ID	Type / Status
Subject	SO36	`E613473`	entity
Predicate	postalCodeOrigin	`P155769`	FINISHED
Object	old Berlin postal district SO 36 Old Berlin postal district SO 36 was a historic inner-city area of Berlin, centered in Kreuzberg, that became known for its dense working-class population and later for its alternative, multicultural, and countercultural character.	`E1630593`	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: old Berlin postal district SO 36 | Statement: [SO36, postalCodeOrigin, old Berlin postal district SO 36]

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: old Berlin postal district SO 36
Triple: [SO36, postalCodeOrigin, old Berlin postal district SO 36]

Generated description

Old Berlin postal district SO 36 was a historic inner-city area of Berlin, centered in Kreuzberg, that became known for its dense working-class population and later for its alternative, multicultural, and countercultural character.

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

Target predicate: postalCodeOrigin
Context triple: [SO36, postalCodeOrigin, old Berlin postal district SO 36]

A. postalCode
Indicates the numerical or alphanumerical code assigned to a geographic area for mail delivery associated with an entity.
B. postalCodeSystem
Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
C. postalName
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
D. postalArea
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
E. postalCodeType
Indicates the classification or type category assigned to a given postal code.
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_69e2d7dcc5a08190b53691130d56cbc4`	completed	April 18, 2026, 1:01 a.m.
NER	Named-entity recognition	`batch_69f2932324e8819082344cf42eddc274`	completed	April 29, 2026, 11:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fd65d44888190b02d8c6bdf13d133`	completed	May 22, 2026, 4:06 a.m.
NEDg	Description generation	`batch_6a0fd79af7dc81909b36001ba18566fa`	completed	May 22, 2026, 4:12 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0fd86469288190aa03fe497754bad3`	completed	May 22, 2026, 4:15 a.m.
PD	Predicate disambiguation	`batch_69f287ad30048190b3ad3613486f277f`	completed	April 29, 2026, 10:35 p.m.
PDg	Predicate description generation	`batch_69f28b7ff1808190870dfe9af789a1eb`	completed	April 29, 2026, 10:51 p.m.

Created at: April 18, 2026, 1:57 a.m.