Triple
T12646312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaikōura District |
E302031
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Clarence
Clarence is a small rural settlement in New Zealand’s South Island, known for its coastal location near the Kaikōura Ranges and popular river for rafting.
|
E995145
|
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: Clarence | Statement: [Kaikōura District, hasSettlement, Clarence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarence Context triple: [Kaikōura District, hasSettlement, Clarence]
-
A.
Clarence
Clarence is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
B.
King Richard
"King Richard" is a 2021 biographical sports drama film about Richard Williams, the determined father and coach of tennis champions Venus and Serena Williams.
-
C.
Henry
Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
-
D.
Henry
Henry is the given first name of American businessman and politician Ross Perot, who was a prominent third-party U.S. presidential candidate in the 1990s.
-
E.
Henry
Henry is the central protagonist of the video game "Gray Matter," around whom the story’s mystery and events revolve.
- 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: Clarence Triple: [Kaikōura District, hasSettlement, Clarence]
Generated description
Clarence is a small rural settlement in New Zealand’s South Island, known for its coastal location near the Kaikōura Ranges and popular river for rafting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clarence Target entity description: Clarence is a small rural settlement in New Zealand’s South Island, known for its coastal location near the Kaikōura Ranges and popular river for rafting.
-
A.
Clarence
Clarence is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
B.
King Richard
"King Richard" is a 2021 biographical sports drama film about Richard Williams, the determined father and coach of tennis champions Venus and Serena Williams.
-
C.
Henry
Henry is the given first name of American businessman and politician Ross Perot, who was a prominent third-party U.S. presidential candidate in the 1990s.
-
D.
Henry
Henry is the given name of Henry Highland Garnet, a prominent 19th-century African American abolitionist, minister, and orator.
-
E.
Henry
Henry is the given name of Henry Vaughan Lanchester, an English architect and urban planner active in the late 19th and early 20th centuries.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614cefdc81908cfc4a4d04aa6eda |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687961d88190a605f17425ad7547 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6695372688190b09a2bb2e58cb546 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fbb9f88190b0f5cc5bb758d132 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 9, 2026, 5:17 p.m.