Triple
T4444724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Pamvotida |
E96254
|
entity |
| Predicate | hasShore |
P969
|
FINISHED |
| Object |
Amfithea
Amfithea is a settlement in northwestern Greece situated on the shores of Lake Pamvotida near the city of Ioannina.
|
E438968
|
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: Amfithea | Statement: [Lake Pamvotida, hasShore, Amfithea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amfithea Context triple: [Lake Pamvotida, hasShore, Amfithea]
-
A.
Amyclae
Amyclae was an ancient Greek city near Sparta in Laconia, noted in classical sources for its religious significance and association with the worship of Apollo.
-
B.
Gytheio
Gytheio is a historic coastal town and port in the southern Peloponnese of Greece, known as the former seaport of ancient Sparta and a gateway to the Laconian Gulf.
-
C.
Maroneia
Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
-
D.
Selinous
Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
-
E.
Megara
Megara is a figure in Greek mythology known as the first wife of the hero Heracles, whose tragic fate helped set in motion his famous labors.
- 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: Amfithea Triple: [Lake Pamvotida, hasShore, Amfithea]
Generated description
Amfithea is a settlement in northwestern Greece situated on the shores of Lake Pamvotida near the city of Ioannina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amfithea Target entity description: Amfithea is a settlement in northwestern Greece situated on the shores of Lake Pamvotida near the city of Ioannina.
-
A.
Amyclae
Amyclae was an ancient Greek city near Sparta in Laconia, noted in classical sources for its religious significance and association with the worship of Apollo.
-
B.
Gytheio
Gytheio is a historic coastal town and port in the southern Peloponnese of Greece, known as the former seaport of ancient Sparta and a gateway to the Laconian Gulf.
-
C.
Maroneia
Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
-
D.
Selinous
Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
-
E.
Megara
Megara is a figure in Greek mythology known as the first wife of the hero Heracles, whose tragic fate helped set in motion his famous labors.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d00c288190a4f3fec29b5d85b2 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61464b0dc81909cab007115435b8b |
completed | March 15, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6151440648190bf8c1c95e20caf13 |
completed | March 15, 2026, 2:10 a.m. |
Created at: March 12, 2026, 11:32 p.m.