Triple
T5048318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieria |
E113721
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Aigini |
E122779
|
NE FINISHED |
How this triple was built (2 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: Aigini | Statement: [Pieria, contains, Aigini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aigini Context triple: [Pieria, contains, Aigini]
-
A.
Aia
Aia was the ancient city that served as the capital of the kingdom of Colchis, located in the region of present-day western Georgia and known from Greek mythology and classical sources.
-
B.
Auge
Auge is a figure in Greek mythology, a princess of Tegea and priestess of Athena who became the mother of the hero Telephus by Heracles.
-
C.
Aegiali
Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
-
D.
Aigai
Aigai was an ancient Greek city of Aeolis in western Asia Minor, known as one of the Aeolian dodecapolis.
-
E.
Aigai
chosen
Aigai was the ancient capital of the kingdom of Macedon, historically significant as the royal seat and burial place of its kings before the rise of Pella.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea47e5ba0819088217a9ad3ce2b0a |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:37 p.m.