Triple
T14012151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratnapura |
E337108
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
City of Gems
City of Gems is the famous nickname of Ratnapura, a Sri Lankan city renowned as a major center for gemstone mining and trade.
|
E1073057
|
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: City of Gems | Statement: [Ratnapura, nickname, City of Gems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Gems Context triple: [Ratnapura, nickname, City of Gems]
-
A.
The Fabled City
The Fabled City is a work by The Nightwatchman, the folk-rock protest-music persona of musician Tom Morello.
-
B.
Gemsstock
Gemsstock is a high-altitude Swiss ski area above Andermatt, renowned for its challenging off-piste terrain and reliable snow conditions.
-
C.
Tower of Jewels
The Tower of Jewels was a monumental, jewel-encrusted central tower and iconic centerpiece of the 1915 Panama–Pacific International Exposition in San Francisco.
-
D.
City of Z
The City of Z is a legendary lost city in the Amazon rainforest, famously sought by British explorer Percy Fawcett in the early 20th century.
-
E.
Diamond Digger Saga
Diamond Digger Saga is a mobile puzzle game by King where players dig through colorful dirt and collect diamonds across progressively challenging levels.
- 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: City of Gems Triple: [Ratnapura, nickname, City of Gems]
Generated description
City of Gems is the famous nickname of Ratnapura, a Sri Lankan city renowned as a major center for gemstone mining and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City of Gems Target entity description: City of Gems is the famous nickname of Ratnapura, a Sri Lankan city renowned as a major center for gemstone mining and trade.
-
A.
The Fabled City
The Fabled City is a work by The Nightwatchman, the folk-rock protest-music persona of musician Tom Morello.
-
B.
Gemsstock
Gemsstock is a high-altitude Swiss ski area above Andermatt, renowned for its challenging off-piste terrain and reliable snow conditions.
-
C.
Tower of Jewels
The Tower of Jewels was a monumental, jewel-encrusted central tower and iconic centerpiece of the 1915 Panama–Pacific International Exposition in San Francisco.
-
D.
City of Z
The City of Z is a legendary lost city in the Amazon rainforest, famously sought by British explorer Percy Fawcett in the early 20th century.
-
E.
Diamond Digger Saga
Diamond Digger Saga is a mobile puzzle game by King where players dig through colorful dirt and collect diamonds across progressively challenging levels.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.