Triple
T13151478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Māori people |
E312475
|
entity |
| Predicate | traditionalGreeting |
P4600
|
FINISHED |
| Object | hongi |
—
|
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: hongi | Statement: [Māori people, traditionalGreeting, hongi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalGreeting Context triple: [Māori people, traditionalGreeting, hongi]
-
A.
typicalGreeting
chosen
Indicates the standard or commonly used way one entity greets another in a given context.
-
B.
languageOfGreeting
Indicates that one entity is the language used to express a particular greeting or salutation.
-
C.
traditionalGift
Indicates that one entity customarily gives another entity a gift in accordance with established traditions or cultural practices.
-
D.
traditionalEnd
Indicates that one entity is the customary or historically established conclusion, outcome, or final stage of another entity or process.
-
E.
traditionalNewYearType
Indicates that an entity is associated with a specific type or category of traditional New Year celebration.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:11 p.m.