Triple
T5632154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volvic |
E147857
|
entity |
| Predicate | buildingMaterial |
P618
|
FINISHED |
| Object | Volvic lava stone |
E147857
|
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: Volvic lava stone | Statement: [Volvic, buildingMaterial, Volvic lava stone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volvic lava stone Context triple: [Volvic, buildingMaterial, Volvic lava stone]
-
A.
Volvic
chosen
Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
-
B.
Greensand
Greensand is a glauconite-rich, greenish sandstone commonly found in southern England, valued both as a geological marker and historically as a soil conditioner.
-
C.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
D.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
E.
Calca
Calca is a small Andean town in Peru’s Sacred Valley, known for its traditional Quechua culture and proximity to Inca archaeological sites.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0225e8e848190a9ccd48fc0d74e5c |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d69128881909870e8901f967e80 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:40 p.m.