Triple
T10583320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Magenta |
E249789
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Magenta |
E613620
|
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: Magenta | Statement: [Battle of Magenta, location, Magenta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magenta Context triple: [Battle of Magenta, location, Magenta]
-
A.
Magenta
chosen
Magenta is a railway station in Milan, Italy, served by the RER Line E suburban rail network.
-
B.
Carmine
Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
-
C.
Maroon
Maroon is a studio album by Canadian alternative rock band Barenaked Ladies, known for its witty lyrics and melodic pop-rock sound.
-
D.
Maroon
"Maroon" is a moody, synth-pop song by Taylor Swift that reflects on a past romance with vivid, color-themed imagery.
-
E.
Maroon
Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52767d2e0819099511e29e254bc34 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b820330819090ed70c6ba29b5c2 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.