Triple
T4125602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waikato River |
E92715
|
entity |
| Predicate | hasMāoriNameMeaning |
P54433
|
FINISHED |
| Object | flowing water |
—
|
LITERAL FINISHED |
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: flowing water | Statement: [Waikato River, hasMāoriNameMeaning, flowing water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMāoriNameMeaning Context triple: [Waikato River, hasMāoriNameMeaning, flowing water]
-
A.
hasEnglishNameMeaning
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
B.
hasGivenNameMeaning
Indicates that a given name carries a particular meaning or semantic interpretation.
-
C.
MāoriTitle
Indicates that an entity holds or is identified by a title in the Māori language or cultural tradition.
-
D.
hasHawaiianName
Indicates that an entity possesses a name in the Hawaiian language.
-
E.
hasEthnonymMeaning
Indicates that one entity is the meaning or semantic interpretation of an ethnonym (a name for an ethnic group) associated with another entity.
- F. None of above. chosen
Provenance (4 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0245adbc81908b89a40850047975 |
completed | March 9, 2026, 5:24 p.m. |
Created at: March 9, 2026, 3:41 p.m.