Triple
T10530311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southland District |
E248421
|
entity |
| Predicate | containsLocality |
P45140
|
FINISHED |
| Object |
Ohai
Ohai is a small rural town in New Zealand’s Southland region, historically known for its coal mining industry.
|
E869671
|
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: Ohai | Statement: [Southland District, containsLocality, Ohai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ohai Context triple: [Southland District, containsLocality, Ohai]
-
A.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
-
B.
Dracut
Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
-
C.
Nix
Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
-
D.
Packer
Packer is a surname most notably associated with American film and television producer Will Packer.
-
E.
Kanmu
Kanmu was a powerful Japanese emperor of the late 8th and early 9th centuries best known for relocating the capital to Heian-kyō, laying the foundations of the Heian period.
- 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: Ohai Triple: [Southland District, containsLocality, Ohai]
Generated description
Ohai is a small rural town in New Zealand’s Southland region, historically known for its coal mining industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ohai Target entity description: Ohai is a small rural town in New Zealand’s Southland region, historically known for its coal mining industry.
-
A.
Upstart
Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
-
B.
Dracut
Dracut is a town in northeastern Massachusetts, United States, known for its suburban character and proximity to the city of Lowell.
-
C.
Nix
Nix is one of Pluto’s small outer moons, an irregularly shaped natural satellite discovered in 2005 that orbits the dwarf planet in a complex, resonant system with its other moons.
-
D.
Packer
Packer is a surname most notably associated with American film and television producer Will Packer.
-
E.
Kanmu
Kanmu was a powerful Japanese emperor of the late 8th and early 9th centuries best known for relocating the capital to Heian-kyō, laying the foundations of the Heian period.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a16915c8190ac4f3fd5e43c5fed |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e3caf4c8190b19199f1a68a00de |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:30 p.m.