Triple
T4822337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manukau Harbour |
E107738
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Māngere
Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
|
E475444
|
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: Māngere | Statement: [Manukau Harbour, near, Māngere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Māngere Context triple: [Manukau Harbour, near, Māngere]
-
A.
Mount Roskill
Mount Roskill is a suburban area and volcanic cone in Auckland, New Zealand, known for its diverse community and residential character.
-
B.
Otahuhu
Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
-
C.
Te Awamutu
Te Awamutu is a rural service town in New Zealand known for its dairy farming hinterland and location south of Hamilton on the North Island.
-
D.
Mount Albert
Mount Albert is a volcanic peak and residential suburb in Auckland, New Zealand, known for its prominent scoria cone and surrounding urban community.
-
E.
Mount Albert
Mount Albert is a parliamentary electorate in Auckland, New Zealand, known for being represented by prominent Labour Party leaders including former Prime Minister Jacinda Ardern.
- 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: Māngere Triple: [Manukau Harbour, near, Māngere]
Generated description
Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Māngere Target entity description: Māngere is a suburb of Auckland, New Zealand, known for its proximity to Auckland Airport and its culturally diverse community.
-
A.
Mount Roskill
Mount Roskill is a suburban area and volcanic cone in Auckland, New Zealand, known for its diverse community and residential character.
-
B.
Otahuhu
Otahuhu is a suburb of Auckland, New Zealand, known for its strong Pacific Islander presence and vibrant Tongan community.
-
C.
Te Awamutu
Te Awamutu is a rural service town in New Zealand known for its dairy farming hinterland and location south of Hamilton on the North Island.
-
D.
Mount Albert
Mount Albert is a volcanic peak and residential suburb in Auckland, New Zealand, known for its prominent scoria cone and surrounding urban community.
-
E.
Mount Albert
Mount Albert is a parliamentary electorate in Auckland, New Zealand, known for being represented by prominent Labour Party leaders including former Prime Minister Jacinda Ardern.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caa95ec8190bea525dbf3a00477 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cb34004819086809b4a7071f4a5 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be607df6648190be22b5bc0d6531b4 |
completed | March 21, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be611da7c08190b644cfbcb30741fc |
completed | March 21, 2026, 9:13 a.m. |
Created at: March 20, 2026, 1:24 p.m.