Triple
T16721310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trianta |
E406353
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Trianda
Trianda is a town on the northwest coast of the Greek island of Rhodes, known for its beaches and proximity to the island’s capital.
|
E1230057
|
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: Trianda | Statement: [Trianta, hasAlternativeName, Trianda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trianda Context triple: [Trianta, hasAlternativeName, Trianda]
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Qwest Communications International
Qwest Communications International was a major U.S.-based telecommunications company that provided local, long-distance, and broadband services before being absorbed into what is now Lumen Technologies.
-
C.
AOL
AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
-
D.
Lycos
Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
-
E.
Plaxo
Plaxo was an online address book and social networking service that helped users manage and synchronize their contact information across multiple platforms.
- 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: Trianda Triple: [Trianta, hasAlternativeName, Trianda]
Generated description
Trianda is a town on the northwest coast of the Greek island of Rhodes, known for its beaches and proximity to the island’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trianda Target entity description: Trianda is a town on the northwest coast of the Greek island of Rhodes, known for its beaches and proximity to the island’s capital.
-
A.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
B.
Qwest Communications International
Qwest Communications International was a major U.S.-based telecommunications company that provided local, long-distance, and broadband services before being absorbed into what is now Lumen Technologies.
-
C.
AOL
AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
-
D.
Lycos
Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
-
E.
Plaxo
Plaxo was an online address book and social networking service that helped users manage and synchronize their contact information across multiple platforms.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38743750c81908a980372ad8f1a6a |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d41cb6c8190bfa164ad20f009d9 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009deba8448190a9f480e6807ea6be |
completed | May 10, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e5daf808190ae75d8c3e22aaef2 |
completed | May 10, 2026, 3:03 p.m. |
Created at: April 10, 2026, 5:20 a.m.