Triple
T1030102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodecanese |
E22229
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lipsi
Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
|
E121403
|
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: Lipsi | Statement: [Dodecanese, contains, Lipsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipsi Context triple: [Dodecanese, contains, Lipsi]
-
A.
Lipara
Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
-
B.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Ninotsminda
Ninotsminda is a small town in southern Georgia known for its predominantly Armenian population and location on the Javakheti volcanic plateau near the Armenian border.
-
E.
Limmat
The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
- 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: Lipsi Triple: [Dodecanese, contains, Lipsi]
Generated description
Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lipsi Target entity description: Lipsi is a small Greek island in the southeastern Aegean Sea, known for its tranquil atmosphere, traditional villages, and unspoiled beaches.
-
A.
Lipara
Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
-
B.
Sivaraksa
Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
-
C.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
D.
Ninotsminda
Ninotsminda is a small town in southern Georgia known for its predominantly Armenian population and location on the Javakheti volcanic plateau near the Armenian border.
-
E.
Limmat
The Limmat is a Swiss river that flows out of Lake Zurich through the city of Zurich and continues northward until it joins the Aare.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f962608190b3ebd9140472b979 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bbf5a1c819086e1ff529d05f311 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3d80db008190b71b893f9d78ba4b |
completed | March 7, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3df3fea8819080b83c840ffd59a8 |
completed | March 7, 2026, 3:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.