Triple
T3083490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycia |
E64312
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Olympos
Olympos was an ancient coastal city in Lycia, known for its strategic harbor, Hellenistic and Roman ruins, and later association with pirates and early Christian history.
|
E325081
|
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: Olympos | Statement: [Lycia, hasMajorCity, Olympos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympos Context triple: [Lycia, hasMajorCity, Olympos]
-
A.
Kithairon
Kithairon is a mountain in Greece traditionally associated with ancient Greek mythology and regional cults.
-
B.
Lerna
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
-
C.
Erymanthos Mountains
The Erymanthos Mountains are a rugged mountain range in the Peloponnese of Greece, known for their high peaks, deep gorges, and rich natural landscapes.
-
D.
Mount Olympus
Mount Olympus is the highest and most prominent peak in Washington State’s Olympic Mountains, known for its extensive glaciation and rugged wilderness.
-
E.
Mount Olympus
Mount Olympus is a famous mountain in northern Greece renowned in Greek mythology as the home of the Olympian gods and goddesses.
- 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: Olympos Triple: [Lycia, hasMajorCity, Olympos]
Generated description
Olympos was an ancient coastal city in Lycia, known for its strategic harbor, Hellenistic and Roman ruins, and later association with pirates and early Christian history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olympos Target entity description: Olympos was an ancient coastal city in Lycia, known for its strategic harbor, Hellenistic and Roman ruins, and later association with pirates and early Christian history.
-
A.
Kithairon
Kithairon is a mountain in Greece traditionally associated with ancient Greek mythology and regional cults.
-
B.
Lerna
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
-
C.
Erymanthos Mountains
The Erymanthos Mountains are a rugged mountain range in the Peloponnese of Greece, known for their high peaks, deep gorges, and rich natural landscapes.
-
D.
Mount Olympus
Mount Olympus is the highest and most prominent peak in Washington State’s Olympic Mountains, known for its extensive glaciation and rugged wilderness.
-
E.
Mount Olympus
Mount Olympus is a famous mountain in northern Greece renowned in Greek mythology as the home of the Olympian gods and goddesses.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e877008190aacbd6f1357bdb9b |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89b650c8190983a00e37a42a794 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f992a8ec8190b3e37dddd93ac57b |
completed | March 11, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9f759408190a4f2121078fe13cb |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.