Triple
T13415356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methana volcano |
E313197
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Methana |
E303502
|
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: Methana | Statement: [Methana volcano, nearbyCity, Methana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Methana Context triple: [Methana volcano, nearbyCity, Methana]
-
A.
Methana
chosen
Methana is a volcanic peninsula in the northeastern Peloponnese of Greece, known for its active geothermal features and historic lava domes.
-
B.
Nassa
Nassa is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy.
-
C.
Meleti
Meleti is a small municipality in the Lombardy region of northern Italy, situated within the Province of Lodi.
-
D.
Marone
Marone is a small Italian town in Lombardy situated on the eastern shore of Lake Iseo, known for its lakeside scenery and proximity to the surrounding mountains.
-
E.
Magarima
Magarima is a small town in Papua New Guinea’s Hela Province, serving as a local administrative and service center for surrounding rural communities.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308095548190afb659b84f2775f2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.