Triple
T22144378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papakura District |
E547247
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Matakawau
Matakawau is a small rural settlement in the Auckland Region of New Zealand, situated on the Āwhitu Peninsula.
|
E1522047
|
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: Matakawau | Statement: [Papakura District, containsSettlement, Matakawau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matakawau Context triple: [Papakura District, containsSettlement, Matakawau]
-
A.
Mount Hiru
Mount Hiru is a prominent peak in Japan’s Kanagawa Prefecture, known for its challenging hiking trails and scenic views within the Tanzawa mountain range.
-
B.
Mount Haku
Mount Haku is one of Japan’s most sacred and scenic peaks, revered in Shinto and Buddhist traditions and known for its volcanic landscape and pilgrimage routes.
-
C.
Mount Kawi
Mount Kawi is a stratovolcano in East Java, Indonesia, known for its scenic highland landscapes and cultural significance to local communities.
-
D.
Raikō-tō
Raikō-tō is the Japanese name for Raikoke, an uninhabited volcanic island in Russia’s Kuril Islands chain known for its explosive eruptions.
-
E.
Kiulap
Kiulap is a commercial and residential area in Bandar Seri Begawan, Brunei, known for its shopping centers, offices, and eateries.
- 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: Matakawau Triple: [Papakura District, containsSettlement, Matakawau]
Generated description
Matakawau is a small rural settlement in the Auckland Region of New Zealand, situated on the Āwhitu Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matakawau Target entity description: Matakawau is a small rural settlement in the Auckland Region of New Zealand, situated on the Āwhitu Peninsula.
-
A.
Mount Hiru
Mount Hiru is a prominent peak in Japan’s Kanagawa Prefecture, known for its challenging hiking trails and scenic views within the Tanzawa mountain range.
-
B.
Mount Haku
Mount Haku is one of Japan’s most sacred and scenic peaks, revered in Shinto and Buddhist traditions and known for its volcanic landscape and pilgrimage routes.
-
C.
Mount Kawi
Mount Kawi is a stratovolcano in East Java, Indonesia, known for its scenic highland landscapes and cultural significance to local communities.
-
D.
Raikō-tō
Raikō-tō is the Japanese name for Raikoke, an uninhabited volcanic island in Russia’s Kuril Islands chain known for its explosive eruptions.
-
E.
Kiulap
Kiulap is a commercial and residential area in Bandar Seri Begawan, Brunei, known for its shopping centers, offices, and eateries.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129efd52c8190ab0acff5bbfc0d77 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96fe404481908a6b27dcf1406dfb |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97e509a88190a7f316cf340d010a |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a987daa208190bab5b7adec1913e8 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 16, 2026, 8:33 p.m.