Triple

T31973056
Position Surface form Disambiguated ID Type / Status
Subject Teiwa E816365 entity
Predicate hasReferenceGrammarTitle P75570 FINISHED
Object A Grammar of Teiwa
A Grammar of Teiwa is a descriptive linguistic work detailing the phonology, morphology, syntax, and usage of the Teiwa language spoken on Pantar Island in eastern Indonesia.
 E1986274 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: A Grammar of Teiwa | Statement: [Teiwa, hasReferenceGrammarTitle, A Grammar of Teiwa]
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: A Grammar of Teiwa
Triple: [Teiwa, hasReferenceGrammarTitle, A Grammar of Teiwa]
Generated description
A Grammar of Teiwa is a descriptive linguistic work detailing the phonology, morphology, syntax, and usage of the Teiwa language spoken on Pantar Island in eastern Indonesia.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasReferenceGrammarTitle
Context triple: [Teiwa, hasReferenceGrammarTitle, A Grammar of Teiwa]
  • A. hasReferenceGrammar chosen
    Indicates that an entity is associated with or described by a specific reference grammar resource.
  • B. hasReferenceGrammarBy
    Indicates that an entity is associated with or described by a reference grammar authored or compiled by a specified agent.
  • C. hasTitlePhraseReferringTo
    Indicates that an entity’s title includes or is associated with a specific phrase that refers to another entity or concept.
  • D. hasPoemTitleReference
    Indicates that one entity (such as a work, discussion, or reference) explicitly refers to or cites the title of a poem.
  • E. hasTitleGloss
    Indicates that an entity is associated with a human-readable or explanatory version (gloss) of its title.
  • 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_69f348f5ae5481909da0247869f51955 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a01b50490e481908eb1d675561fdde2 completed May 11, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb148fc208190899ebf146d643aa1 completed June 14, 2026, 1:48 p.m.
NEDg Description generation batch_6a2eb202403881909faf2f1cf6d7e45e completed June 14, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb2c3b12c81908edb48e77352602f completed June 14, 2026, 1:55 p.m.
PD Predicate disambiguation batch_6a01b44b106481908aa98a3f1eb2c119 completed May 11, 2026, 10:49 a.m.
Created at: May 1, 2026, 12:10 a.m.