Triple
T17873014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mana Whenua |
E446880
|
entity |
| Predicate | institutionTypeOfVenue |
P303
|
FINISHED |
| Object | national museum |
—
|
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: national museum | Statement: [Mana Whenua, institutionTypeOfVenue, national museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionTypeOfVenue Context triple: [Mana Whenua, institutionTypeOfVenue, national museum]
-
A.
institutionTypeOfOrganizer
Indicates the type or category of institution to which the organizer of an event or activity belongs.
-
B.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
isRegularVenueFor
Indicates that a location is commonly or routinely used as the venue for a particular event, activity, or entity’s gatherings.
-
D.
refersToVenueType
Indicates that one entity specifies or identifies the type or category of venue associated with another entity.
-
E.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa3cd248190a13a8209ba44fd3b |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.