Triple
T14791346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lautoka |
E347662
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Sugar City
Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
|
E1120220
|
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: Sugar City | Statement: [Lautoka, nickname, Sugar City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar City Context triple: [Lautoka, nickname, Sugar City]
-
A.
Sugar City
Sugar City is the nickname of Victorias, a city in the Philippines renowned for its large sugar industry and sugarcane plantations.
-
B.
Sand City
Sand City is a small coastal city in Monterey County, California, known for its beaches, sand dunes, and outlet shopping.
-
C.
Sugar Town
"Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
-
D.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
E.
Stone City
Stone City is the nickname of Tenino, Washington, reflecting its historic sandstone quarrying and stone-carving heritage.
- 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: Sugar City Triple: [Lautoka, nickname, Sugar City]
Generated description
Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sugar City Target entity description: Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
-
A.
Sugar City
Sugar City is the nickname of Victorias, a city in the Philippines renowned for its large sugar industry and sugarcane plantations.
-
B.
Sand City
Sand City is a small coastal city in Monterey County, California, known for its beaches, sand dunes, and outlet shopping.
-
C.
Sugar Town
"Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
-
D.
Stone City
Stone City is an ancient walled city and historic fortification area that forms part of the old core of Nanjing, China.
-
E.
Stone City
Stone City is the nickname of Tenino, Washington, reflecting its historic sandstone quarrying and stone-carving heritage.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bc8464819096b019f1e927d1a9 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe27e699688190952b6a4b922e3294 |
completed | May 8, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe2896057881908b3947d9649739e7 |
completed | May 8, 2026, 6:16 p.m. |
Created at: April 10, 2026, 1:31 a.m.