Triple
T15292467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 1 (Turin Metro) |
E365560
|
entity |
| Predicate | initialTerminus |
P41993
|
FINISHED |
| Object | Fermi |
E88963
|
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: Fermi | Statement: [Line 1 (Turin Metro), initialTerminus, Fermi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fermi Context triple: [Line 1 (Turin Metro), initialTerminus, Fermi]
-
A.
Fermi
chosen
Fermi is a renowned Italian surname most famously associated with physicist Enrico Fermi, a pioneer of nuclear physics and Nobel Prize laureate.
-
B.
Fermi
Fermi is a large lunar impact crater named after physicist Enrico Fermi, located on the far side of the Moon.
-
C.
Fermin
Fermin is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and associated with the name Firmin.
-
D.
Leonardo Fermi
Leonardo Fermi is an individual notable primarily for sharing the distinguished Italian surname associated with physicist Enrico Fermi.
-
E.
Fermi 2
Fermi 2 is a boiling water nuclear reactor unit at the Enrico Fermi Nuclear Generating Station in Michigan, used for commercial electricity production.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7f2fc08190937226dad5fdc9c6 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.