Triple
T16895006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Dikti |
E424275
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Afendi
Afendi is a notable summit of Mount Dikti on the island of Crete in Greece, known for its rugged terrain and scenic alpine landscapes.
|
E1240012
|
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: Afendi | Statement: [Mount Dikti, hasPeak, Afendi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afendi Context triple: [Mount Dikti, hasPeak, Afendi]
-
A.
Manya Krobo
Manya Krobo is a traditional area in southeastern Ghana inhabited predominantly by the Dangme-speaking Krobo people, known for their rich cultural heritage and festivals.
-
B.
Mwana
"Mwana" is a popular hit song by Tanzanian singer Ali Kiba that helped solidify his status in the East African music scene.
-
C.
Arman
Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
-
D.
Iwan
Iwan is a Welsh given name commonly used for males, equivalent to "John" in English.
-
E.
Keita
Keita is a Japanese given name commonly used for males and borne by various notable figures in fields such as sports and entertainment.
- 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: Afendi Triple: [Mount Dikti, hasPeak, Afendi]
Generated description
Afendi is a notable summit of Mount Dikti on the island of Crete in Greece, known for its rugged terrain and scenic alpine landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afendi Target entity description: Afendi is a notable summit of Mount Dikti on the island of Crete in Greece, known for its rugged terrain and scenic alpine landscapes.
-
A.
Manya Krobo
Manya Krobo is a traditional area in southeastern Ghana inhabited predominantly by the Dangme-speaking Krobo people, known for their rich cultural heritage and festivals.
-
B.
Mwana
"Mwana" is a popular hit song by Tanzanian singer Ali Kiba that helped solidify his status in the East African music scene.
-
C.
Arman
Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
-
D.
Iwan
Iwan is a Welsh given name commonly used for males, equivalent to "John" in English.
-
E.
Keita
Keita is a Japanese given name commonly used for males and borne by various notable figures in fields such as sports and entertainment.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d7aec88190888f13601acbcd77 |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7aa83bc8190832d2f3903ce0081 |
completed | May 10, 2026, 6 p.m. |
| NEDg | Description generation | batch_6a00c8b9e4888190b25dd3256fc13dd1 |
completed | May 10, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c9672ab881909770b4fe551ec622 |
completed | May 10, 2026, 6:07 p.m. |
Created at: April 10, 2026, 5:29 a.m.