Triple
T31945187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adieu, fière cité |
E815630
|
entity |
| Predicate | operaSectionContext |
P27848
|
FINISHED |
| Object | Les Troyens: Les Troyens à Carthage |
—
|
NE NERFINISHED |
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: Les Troyens: Les Troyens à Carthage | Statement: [Adieu, fière cité, operaSectionContext, Les Troyens: Les Troyens à Carthage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaSectionContext Context triple: [Adieu, fière cité, operaSectionContext, Les Troyens: Les Troyens à Carthage]
-
A.
operaPremiereContext
Indicates the circumstances or setting (such as time, place, or event) in which an opera had its premiere performance.
-
B.
sectionContext
Indicates that one element occurs within the contextual scope or environment defined by a particular section of a larger structure or document.
-
C.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
D.
operaComponent
chosen
Indicates that one entity is a constituent part or section of an opera associated with the other entity.
-
E.
operaForm
Indicates that one entity is a specific form, style, or structural type of opera in relation to another entity.
- F. None of above.
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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffebbd9bac8190b3dca4b7252a2278 |
completed | May 10, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69ffe93120a08190a44bb64d052eda78 |
completed | May 10, 2026, 2:10 a.m. |
Created at: May 1, 2026, 12:06 a.m.