Triple

T23984413

Position	Surface form	Disambiguated ID	Type / Status
Subject	Benvenuto Cellini	`E604590`	entity
Predicate	revisionPlace	`P154136`	FINISHED
Object	Weimar Weimar is a historic city in central Germany renowned as a cultural center associated with figures like Goethe and Schiller and as the namesake of the Weimar Republic.	`E111310`	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: Weimar | Statement: [Benvenuto Cellini, revisionPlace, Weimar]

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: Weimar
Triple: [Benvenuto Cellini, revisionPlace, Weimar]

Generated description

Weimar is a historic city in central Germany renowned as a cultural center associated with figures like Goethe and Schiller and as the namesake of the Weimar Republic.

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

Target predicate: revisionPlace
Context triple: [Benvenuto Cellini, revisionPlace, Weimar]

A. revisionOf
Indicates that one entity is a modified or updated version of another earlier entity.
B. revisionMechanism
Indicates the method or process by which something is updated, corrected, or modified over time.
C. revisionKnownAs
Indicates that a particular revision of an entity is referred to or identified by a specific alternative name or label.
D. revisionPolicy
Indicates the rules or procedures governing how and when something (such as a document, plan, or item) may be updated, changed, or versioned over time.
E. laterModification
Indicates that one entity is a modification or revision that occurs after another in time.
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_69e29543f40c819087700b7a272afb60`	completed	April 17, 2026, 8:17 p.m.
NER	Named-entity recognition	`batch_69f1d2c10c708190922daf3b3b9555f4`	completed	April 29, 2026, 9:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f7e86b87c81908bf9441987a8acd6`	completed	May 21, 2026, 9:52 p.m.
NEDg	Description generation	`batch_6a0f7f2288208190b26e909847e34de8`	completed	May 21, 2026, 9:54 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f7fcc13c4819080a2590a2b964f9c`	completed	May 21, 2026, 9:57 p.m.
PD	Predicate disambiguation	`batch_69f161578d54819084a8b35496299993`	completed	April 29, 2026, 1:39 a.m.
PDg	Predicate description generation	`batch_69f167dca3608190ace9d2eef56b2af6`	completed	April 29, 2026, 2:07 a.m.

Created at: April 17, 2026, 9:31 p.m.