Triple
T12242922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La rondine |
E291778
|
entity |
| Predicate | settingLocationDetail |
P35513
|
FINISHED |
| Object | Magda’s salon in Paris in Act I |
—
|
LITERAL 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: Magda’s salon in Paris in Act I | Statement: [La rondine, settingLocationDetail, Magda’s salon in Paris in Act I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingLocationDetail Context triple: [La rondine, settingLocationDetail, Magda’s salon in Paris in Act I]
-
A.
locationDetail
chosen
Indicates a more specific or refined description of a location associated with an entity or event.
-
B.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
-
C.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
-
D.
subjectLocation
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
E.
plotLocation
Indicates the relationship between a creative work and the place or setting where its story or events occur.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.