Triple
T2721091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waikato Region |
E60080
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Waihi
Waihi is a small New Zealand town known for its historic and still-active gold mining industry and its location near the Coromandel Peninsula.
|
E293579
|
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: Waihi | Statement: [Waikato Region, contains, Waihi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waihi Context triple: [Waikato Region, contains, Waihi]
-
A.
Waimea
Waimea is a town on the Big Island of Hawaii known for its ranching heritage, cool upland climate, and scenic views of nearby volcanic peaks.
-
B.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
C.
Kailua
Kailua is a coastal town on the windward side of Oahu in Hawaii, known for its scenic beaches and relaxed residential atmosphere.
-
D.
Waipahu
Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
-
E.
Hamoa Beach
Hamoa Beach is a picturesque, crescent-shaped beach near Hana on the island of Maui, known for its soft sand, lush surroundings, and excellent swimming and bodysurfing conditions.
- 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: Waihi Triple: [Waikato Region, contains, Waihi]
Generated description
Waihi is a small New Zealand town known for its historic and still-active gold mining industry and its location near the Coromandel Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waihi Target entity description: Waihi is a small New Zealand town known for its historic and still-active gold mining industry and its location near the Coromandel Peninsula.
-
A.
Waimea
Waimea is a town on the Big Island of Hawaii known for its ranching heritage, cool upland climate, and scenic views of nearby volcanic peaks.
-
B.
Ke‘anae
Ke‘anae is a small, historic Hawaiian village on Maui’s rugged north shore, known for its taro fields, dramatic lava-rock coastline, and scenic ocean views.
-
C.
Kailua
Kailua is a coastal town on the windward side of Oahu in Hawaii, known for its scenic beaches and relaxed residential atmosphere.
-
D.
Waipahu
Waipahu is a former sugar plantation town and residential community located on the island of Oahu in Hawaii.
-
E.
Hamoa Beach
Hamoa Beach is a picturesque, crescent-shaped beach near Hana on the island of Maui, known for its soft sand, lush surroundings, and excellent swimming and bodysurfing conditions.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab1cb808190b0789c76bc9cb090 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6914f70819099482893d026f34b |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb726182081909570e4cb7a364e4d |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb78f9d08819087d6f31fe1e4e61c |
completed | March 10, 2026, 6:17 a.m. |
Created at: March 6, 2026, 9:55 p.m.