Triple
T17160917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumbo–Holdsworth Circuit |
E416474
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
Jumbo Track
Jumbo Track is a notable section of the Jumbo–Holdsworth Circuit, a popular tramping route in New Zealand’s Tararua Range.
|
E416466
|
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: Jumbo Track | Statement: [Jumbo–Holdsworth Circuit, hasSection, Jumbo Track]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jumbo Track Context triple: [Jumbo–Holdsworth Circuit, hasSection, Jumbo Track]
-
A.
Jumbo
Jumbo is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and access to nearby huts and ridgelines.
-
B.
Jumbo
Jumbo is a prominent historic water tower in Colchester, England, renowned for its massive size and distinctive Victorian brick architecture.
-
C.
Jumbo
Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
-
D.
Jumbo
Jumbo is a 1935 Rodgers and Hart Broadway musical comedy best known for its circus setting and elaborate live-animal performances.
-
E.
Jumbo
Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
- 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: Jumbo Track Triple: [Jumbo–Holdsworth Circuit, hasSection, Jumbo Track]
Generated description
Jumbo Track is a notable section of the Jumbo–Holdsworth Circuit, a popular tramping route in New Zealand’s Tararua Range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jumbo Track Target entity description: Jumbo Track is a notable section of the Jumbo–Holdsworth Circuit, a popular tramping route in New Zealand’s Tararua Range.
-
A.
Jumbo
chosen
Jumbo is a prominent mountain peak in New Zealand’s Tararua Range, popular with trampers for its alpine views and access to nearby huts and ridgelines.
-
B.
Jumbo
Jumbo is a prominent historic water tower in Colchester, England, renowned for its massive size and distinctive Victorian brick architecture.
-
C.
Jumbo
Jumbo was the nickname of British Army officer Field Marshal Henry Maitland Wilson, a senior commander during the Second World War.
-
D.
Jumbo
Jumbo is a 1935 Rodgers and Hart Broadway musical comedy best known for its circus setting and elaborate live-animal performances.
-
E.
Jumbo
Jumbo is a major Latin American supermarket and hypermarket chain known for offering a wide range of groceries and household products.
- F. None of above.
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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f911114481909c865b2e2d3b3a2b |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148376bc081908372366203a27fa8 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014b5691a881908fdad49f7dadc76c |
completed | May 11, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014bbc921081909c39cd6d11400b56 |
completed | May 11, 2026, 3:23 a.m. |
Created at: April 10, 2026, 5:37 a.m.