Triple
T5448476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Fenice Theatre |
E122308
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | phoenix |
E174666
|
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: phoenix | Statement: [La Fenice Theatre, namedAfter, phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: phoenix Context triple: [La Fenice Theatre, namedAfter, phoenix]
-
A.
Phénix
Phénix is the French Air and Space Force’s designation for its Airbus A330 MRTT multirole tanker and transport aircraft.
-
B.
PHENIX
PHENIX is a major nuclear physics experiment at the Relativistic Heavy Ion Collider designed to study the properties of quark-gluon plasma and the strong interaction under extreme conditions.
-
C.
Phoenix
Phoenix is the capital and largest city of the U.S. state of Arizona, known for its desert climate, rapid growth, and role as a major economic and cultural center in the American Southwest.
-
D.
Phoenix
Phoenix is a township near Durban in South Africa known for its large Indian community and its historical significance in the Indian diaspora in the country.
-
E.
Phoenix
chosen
Phoenix is the mythical bird that cyclically regenerates from its own ashes, symbolizing rebirth and renewal.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91dbfd948190977513cf274af417 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4137ecf881908f3f036457b59281 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.