Triple
T17533706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngāti Pūkenga |
E427000
|
entity |
| Predicate | hasCulturalAsset |
P11746
|
FINISHED |
| Object |
urupā
An urupā is a traditional Māori burial ground and sacred cemetery used by iwi such as Ngāti Pūkenga for interring and honouring their ancestors.
|
E1273805
|
NE FINISHED |
How this triple was built (4 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: urupā | Statement: [Ngāti Pūkenga, hasCulturalAsset, urupā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: urupā Context triple: [Ngāti Pūkenga, hasCulturalAsset, urupā]
-
A.
URU
URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
-
B.
Urvaste
Urvaste is a small rural settlement in southeastern Estonia known for its scenic landscape and traditional village character.
-
C.
UR
UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
-
D.
UR
UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
-
E.
UR
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: urupā Triple: [Ngāti Pūkenga, hasCulturalAsset, urupā]
Generated description
An urupā is a traditional Māori burial ground and sacred cemetery used by iwi such as Ngāti Pūkenga for interring and honouring their ancestors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: urupā Target entity description: An urupā is a traditional Māori burial ground and sacred cemetery used by iwi such as Ngāti Pūkenga for interring and honouring their ancestors.
-
A.
URU
URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
-
B.
Urvaste
Urvaste is a small rural settlement in southeastern Estonia known for its scenic landscape and traditional village character.
-
C.
UR
UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
-
D.
UR
UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
-
E.
UR
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
- F. None of above. chosen
Provenance (5 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536a0f588190ade91d32308897a0 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94e4e208190a241ea586d3f3a38 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca84f3388190aa2eda694f91a17b |
completed | May 11, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cb0b3cec8190afc6cf6dd1e4d896 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.