Triple
T17288263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tairua |
E419713
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object |
Hahei
Hahei is a small coastal village on New Zealand’s Coromandel Peninsula, known for its white-sand beach and proximity to Cathedral Cove and other popular marine attractions.
|
E1260115
|
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: Hahei | Statement: [Tairua, hasNearbyPlace, Hahei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hahei Context triple: [Tairua, hasNearbyPlace, Hahei]
-
A.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
D.
Yahagi
Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
-
E.
Hatano
Hatano was a former municipality in Niigata Prefecture, Japan, that was incorporated into the city of Sado through a merger.
- 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: Hahei Triple: [Tairua, hasNearbyPlace, Hahei]
Generated description
Hahei is a small coastal village on New Zealand’s Coromandel Peninsula, known for its white-sand beach and proximity to Cathedral Cove and other popular marine attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hahei Target entity description: Hahei is a small coastal village on New Zealand’s Coromandel Peninsula, known for its white-sand beach and proximity to Cathedral Cove and other popular marine attractions.
-
A.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
D.
Yahagi
Yahagi was a Japanese World War II light cruiser of the Imperial Japanese Navy, best known for serving as the flagship escort of the battleship Yamato during its final mission.
-
E.
Hatano
Hatano was a former municipality in Niigata Prefecture, Japan, that was incorporated into the city of Sado through a merger.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43781b7808190a0528ee9c54a0c66 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017957c738819087341bcd51b55114 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a0179f16af481909f409adb5367f021 |
completed | May 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017ad8480881909ca9a9982585b08d |
completed | May 11, 2026, 6:44 a.m. |
Created at: April 10, 2026, 5:40 a.m.