Triple
T25390590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maluku Province |
E636153
|
entity |
| Predicate | containsLanguageGroup |
P152634
|
FINISHED |
| Object | Tanimbar languages |
—
|
NE NERFINISHED |
How this triple was built (2 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: Tanimbar languages | Statement: [Maluku Province, containsLanguageGroup, Tanimbar languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLanguageGroup Context triple: [Maluku Province, containsLanguageGroup, Tanimbar languages]
-
A.
hasLanguageGroup
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
B.
includesLanguageCluster
chosen
Indicates that one entity contains or encompasses a specific group or cluster of related languages as part of its composition or scope.
-
C.
hasMemberLanguage
Indicates that one entity is a language that is a constituent or member of a larger language group, family, or collection represented by the other entity.
-
D.
languageGroupAncestor
Indicates that one language group is an ancestor (historical or genealogical predecessor) of another language group in a language family.
-
E.
includesLanguage
Indicates that one entity contains, supports, or makes use of a specified language as part of its content, functionality, or representation.
- F. None of above.
Provenance (3 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 21, 2026, 1:49 p.m.