Triple
T2814597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arethusa |
E54251
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
Arethousa
Arethousa is a nymph from Greek mythology, closely associated with a sacred spring and often linked to the goddess Artemis.
|
E306225
|
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: Arethousa | Statement: [Arethusa, epithet, Arethousa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arethousa Context triple: [Arethusa, epithet, Arethousa]
-
A.
Naousa
Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
-
B.
Agistri
Agistri is a small Greek island in the Saronic Gulf known for its pine forests, clear waters, and tranquil beaches popular with weekend visitors from Athens.
-
C.
Taygete
Taygete is a figure from Greek mythology, one of the Pleiad nymphs and a daughter of the Titan Atlas.
-
D.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
E.
Megara
Megara is an ancient Greek city-state in the region of Attica, historically known for its strategic location near the Isthmus of Corinth and its role in early Greek philosophy and colonization.
- 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: Arethousa Triple: [Arethusa, epithet, Arethousa]
Generated description
Arethousa is a nymph from Greek mythology, closely associated with a sacred spring and often linked to the goddess Artemis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arethousa Target entity description: Arethousa is a nymph from Greek mythology, closely associated with a sacred spring and often linked to the goddess Artemis.
-
A.
Naousa
Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
-
B.
Agistri
Agistri is a small Greek island in the Saronic Gulf known for its pine forests, clear waters, and tranquil beaches popular with weekend visitors from Athens.
-
C.
Taygete
Taygete is a figure from Greek mythology, one of the Pleiad nymphs and a daughter of the Titan Atlas.
-
D.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
E.
Megara
Megara is an ancient Greek city-state in the region of Attica, historically known for its strategic location near the Isthmus of Corinth and its role in early Greek philosophy and colonization.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4d29488190a32461906dd9ea7e |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d64629481909da4c7b4f6c96c44 |
completed | March 10, 2026, 1:32 p.m. |
| NEDg | Description generation | batch_69b0224541d481909dfad465b7e950da |
completed | March 10, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b022f16c3881908bf8acf9d0d54d2b |
completed | March 10, 2026, 1:56 p.m. |
Created at: March 6, 2026, 9:59 p.m.