Triple
T9472608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Medal 1939–1945 |
E228427
|
entity |
| Predicate | theatreOfService |
P88301
|
FINISHED |
| Object | worldwide |
—
|
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: worldwide | Statement: [War Medal 1939–1945, theatreOfService, worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatreOfService Context triple: [War Medal 1939–1945, theatreOfService, worldwide]
-
A.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
-
B.
theaterResponsibility
Indicates that one entity has a duty, role, or obligation related to the operation, management, or activities of a theater.
-
C.
servedInTheatre
Indicates that an individual performed military or service duties within a specific theater of operations or geographic area during a conflict or campaign.
-
D.
theaterOfWar
Indicates that a specified location or region is the primary area where a particular conflict, war, or military operation takes place.
-
E.
sisterTheatre
Indicates that two theatres are formally associated as sister venues, typically collaborating or sharing resources while remaining distinct entities.
- F. None of above. chosen
Provenance (4 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff0afd08190871b68a88fdbff2b |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55f01b081908dc0f12eaa45f832 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:54 p.m.