Triple
T3627726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrrhenian region |
E76879
|
entity |
| Predicate | containsVolcano |
P6356
|
FINISHED |
| Object | Vulcano |
E54452
|
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: Vulcano | Statement: [Tyrrhenian region, containsVolcano, Vulcano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vulcano Context triple: [Tyrrhenian region, containsVolcano, Vulcano]
-
A.
Vulcano
chosen
Vulcano is a small volcanic island in Italy’s Aeolian archipelago, famed for its active fumaroles, hot springs, and historical role in giving volcanoes their name.
-
B.
Vulcan
Vulcan is the Roman god of fire, metalworking, and the forge, often depicted as a blacksmith crafting weapons and armor for the gods.
-
C.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
-
D.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
-
E.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2ddccc881909ae13dca3dd8a11d |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433270ddc81908080698604009737 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.