Triple
T3660735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 3a |
E77640
|
entity |
| Predicate | locationServices |
P50216
|
FINISHED |
| Object | Galileo |
E147646
|
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: Galileo | Statement: [Pixel 3a, locationServices, Galileo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galileo Context triple: [Pixel 3a, locationServices, Galileo]
-
A.
Galileo
chosen
Galileo is the European Union's global navigation satellite system designed to provide highly accurate positioning and timing services worldwide.
-
B.
Galileo Galilei
Galileo Galilei was an Italian Renaissance astronomer, physicist, and engineer whose pioneering use of the telescope and support for heliocentrism helped lay the foundations of modern science.
-
C.
Alessandro Galilei
Alessandro Galilei was an 18th-century Italian architect and engineer known for his pioneering neoclassical style and influential works in Rome and England.
-
D.
Coperni
Coperni is a contemporary Paris-based fashion label known for its innovative, tech-influenced designs and viral runway moments.
-
E.
Tycho Brahe
Tycho Brahe was a Danish nobleman and astronomer whose precise naked-eye observations of the heavens greatly improved astronomical data and paved the way for Kepler’s laws of planetary motion.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d6fa188190a6db5bdae7083573 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48844a380819084c4627a95b4cb3c |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.