Triple
T19111737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paxos |
E467806
|
entity |
| Predicate | largestSettlement |
P163
|
FINISHED |
| Object | Gaios |
—
|
NE NERFINISHED |
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.
Trygaeus
Trygaeus is the rustic Athenian hero of Aristophanes’ comedy "Peace," who flies to the heavens to rescue the goddess Peace and end the Peloponnesian War.
-
C.
Galaosiyo
Galaosiyo is a town in Uzbekistan that serves as a local urban center within the historic Bukhara Region.
-
D.
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.
-
E.
Andriot
Andriot is a surname most notably associated with Lucien N. Andriot, a cinematographer active in early American cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:04 p.m.