Triple
T2923988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paxos |
E78799
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | Gaios |
E309589
|
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: Gaios | Statement: [Paxos, largestSettlement, Gaios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaios Context triple: [Paxos, largestSettlement, Gaios]
-
A.
Gaios
chosen
Gaios is the main port town and administrative center of the Greek island of Paxos in the Ionian Sea.
-
B.
Geras
Geras is the Greek personification of old age, often depicted as a withered, decrepit figure and associated with the inevitable decline that comes with time.
-
C.
Diois
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
-
D.
Longiano
Longiano is a historic hilltop town in Italy’s Emilia-Romagna region, known for its medieval castle, scenic views, and well-preserved old center.
-
E.
Iolkos
Iolkos was an ancient city in Thessaly, Greece, traditionally known as the homeland of Jason and the starting point of the Argonauts’ voyage in Greek mythology.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97bf2df88190bd4f1e90d4656507 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08664fe308190889e855821a32576 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:55 p.m.