Triple
T30310823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Cavaradossi |
E770917
|
entity |
| Predicate | lastSceneLocation |
P81796
|
FINISHED |
| Object | Castel Sant’Angelo |
—
|
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: Castel Sant’Angelo | Statement: [Mario Cavaradossi, lastSceneLocation, Castel Sant’Angelo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastSceneLocation Context triple: [Mario Cavaradossi, lastSceneLocation, Castel Sant’Angelo]
-
A.
hasSceneLocation
Indicates that a scene or event takes place at, or is set in, a specific location.
-
B.
laterLocation
Indicates that an entity is located at a specified place at a later time than some reference time or earlier location.
-
C.
climaxLocation
chosen
Indicates the place or setting where the most intense or pivotal moment of an event, narrative, or process occurs.
-
D.
currentlyLocatedAt
Indicates that an entity’s present or most recent known physical location is at the specified place.
-
E.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6816c17e08190b543186d578dca88 |
completed | May 2, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:50 p.m.