Triple
T20339987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pergamon region |
E495712
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Elaia |
—
|
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: Elaia | Statement: [Pergamon region, hasMajorCity, Elaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaia Context triple: [Pergamon region, hasMajorCity, Elaia]
-
A.
Elaia
chosen
Elaia was an ancient Greek coastal city of Aeolis in western Asia Minor, known as the harbor town of Pergamon.
-
B.
Èze
Èze is a picturesque medieval hilltop village on the French Riviera, famed for its stunning views over the Mediterranean and its charming narrow streets.
-
C.
Martesana
Martesana is a historical area in the northeastern part of the Milan metropolitan region in Lombardy, Italy, known for its network of canals, rural landscapes, and suburban towns.
-
D.
Mouthe
Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
-
E.
Arona
Arona is a settlement located within Madona Municipality in Latvia.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678342a0081908ede8006eb5506a3 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:23 a.m.