Triple
T21410435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Taygetus |
E528152
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Taigetos
Taigetos is a prominent mountain range in the Peloponnese region of southern Greece, known for its rugged peaks and historical significance in ancient Sparta.
|
E1482105
|
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: Taigetos | Statement: [Mount Taygetus, hasAlternativeName, Taigetos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taigetos Context triple: [Mount Taygetus, hasAlternativeName, Taigetos]
-
A.
Argithea
Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
-
B.
Telgárt
Telgárt is a Slovak mountain village in central Slovakia, known as a gateway to the Low Tatras and the scenic area around Kráľova hoľa.
-
C.
Usakos
Usakos is a small town in central Namibia known as a railway junction and gateway to the Erongo Mountains.
-
D.
Crenea
Crenea is a small genus of flowering plants in the loosestrife family Lythraceae, native to tropical regions of the Americas.
-
E.
Oetaea
Oetaea was an ancient Greek region located around Mount Oeta in central Greece, known for its rugged terrain and strategic position between Thessaly and central Greece.
- 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: Taigetos Triple: [Mount Taygetus, hasAlternativeName, Taigetos]
Generated description
Taigetos is a prominent mountain range in the Peloponnese region of southern Greece, known for its rugged peaks and historical significance in ancient Sparta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taigetos Target entity description: Taigetos is a prominent mountain range in the Peloponnese region of southern Greece, known for its rugged peaks and historical significance in ancient Sparta.
-
A.
Argithea
Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
-
B.
Telgárt
Telgárt is a Slovak mountain village in central Slovakia, known as a gateway to the Low Tatras and the scenic area around Kráľova hoľa.
-
C.
Usakos
Usakos is a small town in central Namibia known as a railway junction and gateway to the Erongo Mountains.
-
D.
Crenea
Crenea is a small genus of flowering plants in the loosestrife family Lythraceae, native to tropical regions of the Americas.
-
E.
Oetaea
Oetaea was an ancient Greek region located around Mount Oeta in central Greece, known for its rugged terrain and strategic position between Thessaly and central Greece.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b1b4d4608190a86a6cd279709b21 |
completed | April 22, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb57bd2c8190b5b0ac8c65e0b5d1 |
completed | May 17, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_6a09bea578348190a3cc8a652c7fc362 |
completed | May 17, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09bf5645348190a2ef7bd49a0237d8 |
completed | May 17, 2026, 1:15 p.m. |
Created at: April 16, 2026, 5:42 p.m.