Triple
T824616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Scala |
E17826
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Teatro alla Scala |
E17826
|
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: Teatro alla Scala | Statement: [La Scala, hasNativeName, Teatro alla Scala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teatro alla Scala Context triple: [La Scala, hasNativeName, Teatro alla Scala]
-
A.
La Scala
chosen
La Scala is Milan's world-renowned opera house, celebrated as one of the leading venues for opera and classical music performances.
-
B.
San Carlo Theatre
San Carlo Theatre is a historic opera house in Naples, Italy, renowned as one of the oldest and most prestigious continuously active opera venues in the world.
-
C.
Auditorium Parco della Musica
Auditorium Parco della Musica is a large modern concert and cultural complex in Rome, Italy, renowned for its distinctive architecture and role as a major venue for music and arts events.
-
D.
Alte Oper
Alte Oper is a historic former opera house in Frankfurt am Main that now serves as a prominent concert and event venue.
-
E.
Opernhaus
Opernhaus is an underground rapid transit station on the Nuremberg U-Bahn network in Nuremberg, Germany.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab7eb0a08190889463edb0e7bd59 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d93af548190818c14a370e0914a |
completed | March 3, 2026, 11:24 p.m. |
Created at: March 1, 2026, 7:38 p.m.