Triple
T25908138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undicesima battaglia dell'Isonzo |
E652812
|
entity |
| Predicate | teatroOperazioni |
P687
|
FINISHED |
| Object | Alpi Giulie |
—
|
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: Alpi Giulie | Statement: [Undicesima battaglia dell'Isonzo, teatroOperazioni, Alpi Giulie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teatroOperazioni Context triple: [Undicesima battaglia dell'Isonzo, teatroOperazioni, Alpi Giulie]
-
A.
theaterOfWar
chosen
Indicates that a specified location or region is the primary area where a particular conflict, war, or military operation takes place.
-
B.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
C.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
D.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
-
E.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603c15b348190a7f00745b6475b28 |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:27 a.m.