Triple

T34671962

Position	Surface form	Disambiguated ID	Type / Status
Subject	Old Tupi	`E890398`	entity
Predicate	hasNotableGrammar	`P51920`	FINISHED
Object	Anchieta's grammar of Tupi Anchieta's grammar of Tupi is a pioneering 16th-century Jesuit linguistic work that systematically describes the Old Tupi language spoken by Indigenous peoples of coastal Brazil.	`E2105977`	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: Anchieta's grammar of Tupi | Statement: [Old Tupi, hasNotableGrammar, Anchieta's grammar of Tupi]

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: Anchieta's grammar of Tupi
Triple: [Old Tupi, hasNotableGrammar, Anchieta's grammar of Tupi]

Generated description

Anchieta's grammar of Tupi is a pioneering 16th-century Jesuit linguistic work that systematically describes the Old Tupi language spoken by Indigenous peoples of coastal Brazil.

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

Target predicate: hasNotableGrammar
Context triple: [Old Tupi, hasNotableGrammar, Anchieta's grammar of Tupi]

A. hasNotableGrammarWork chosen
Indicates that an entity has produced or is associated with a significant work or contribution in the field of grammar.
B. hasGrammar
Indicates that an entity possesses, follows, or is associated with a particular system of grammatical rules or structure.
C. hasGrammarStatus
Indicates that an entity is associated with a particular grammatical status or classification (e.g., tense, mood, aspect, or correctness).
D. hasNonManualGrammar
Indicates that an entity possesses or uses a system of non-manual grammatical features (such as facial expressions or body movements) as part of its linguistic structure.
E. hasNotableSentence
Indicates that an entity is associated with a particularly important, famous, or otherwise noteworthy sentence.
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_69f349d9c59481908b36baa0be093aea`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_6a03352bb9688190b965d188769fcacd`	completed	May 12, 2026, 2:11 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3749079fdc81908004d7a554eebd5f`	completed	June 21, 2026, 2:14 a.m.
NEDg	Description generation	`batch_6a374a4c38c88190bdd7ad54e6a7a714`	completed	June 21, 2026, 2:19 a.m.
NED2	Entity disambiguation (via description)	`batch_6a374ab6a5388190ad9d0601f27c6748`	completed	June 21, 2026, 2:21 a.m.
PD	Predicate disambiguation	`batch_6a033329ae5c81909532843fe716ec77`	completed	May 12, 2026, 2:03 p.m.

Created at: May 1, 2026, 2:05 a.m.