Triple
T7993397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kerkis |
E186062
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kerketeas
Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
|
E703765
|
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: Kerketeas | Statement: [Mount Kerkis, alsoKnownAs, Kerketeas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerketeas Context triple: [Mount Kerkis, alsoKnownAs, Kerketeas]
-
A.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
B.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
C.
Koekange
Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
D.
Kupchino
Kupchino is a residential district in the south of Saint Petersburg, Russia, known for its large Soviet-era housing estates and as a major transport hub.
-
E.
Kofy
Kofy is a variant spelling of the given name Kofi, commonly used in some personal or brand contexts.
- 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: Kerketeas Triple: [Mount Kerkis, alsoKnownAs, Kerketeas]
Generated description
Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerketeas Target entity description: Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
-
A.
The Tea
The Tea is an 1880 oil painting by American Impressionist Mary Cassatt that depicts two women in a refined domestic interior, exemplifying her focus on the private lives of women.
-
B.
Tehatta
Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
-
C.
Koekange
Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
-
D.
Kupchino
Kupchino is a residential district in the south of Saint Petersburg, Russia, known for its large Soviet-era housing estates and as a major transport hub.
-
E.
Kofy
Kofy is a variant spelling of the given name Kofi, commonly used in some personal or brand contexts.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c729afc81909d477b1623ac3f9d |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0fe312c81908c6874fa0aabe7d5 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe440a66c8190a5d5b417fb5082b7 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc338a1c48819086ece073e04e8fa6 |
completed | March 31, 2026, 8:50 p.m. |
Created at: March 30, 2026, 5:16 p.m.