Triple
T3402162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paros |
E71680
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Naousa |
E300081
|
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: Naousa | Statement: [Paros, hasSettlement, Naousa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naousa Context triple: [Paros, hasSettlement, Naousa]
-
A.
Naousa
chosen
Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
-
B.
Arethousa
Arethousa is a nymph from Greek mythology, closely associated with a sacred spring and often linked to the goddess Artemis.
-
C.
Eauripik
Eauripik is a small inhabited atoll and island community in the Federated States of Micronesia, located within Yap State in the western Pacific Ocean.
-
D.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
-
E.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c96d7c8190a1f9d035996f79e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd4d02881909c365e054148ae8c |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:14 p.m.