Triple
T2488971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LWP |
E51993
|
entity |
| Predicate | mainTheatreOfOperations |
P687
|
FINISHED |
| Object | territory of Poland |
—
|
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: territory of Poland | Statement: [LWP, mainTheatreOfOperations, territory of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTheatreOfOperations Context triple: [LWP, mainTheatreOfOperations, territory of Poland]
-
A.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
B.
theaterOfWar
chosen
Indicates that a specified location or region is the primary area where a particular conflict, war, or military operation takes place.
-
C.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
D.
mainBattle
Indicates that one battle is the primary or most significant engagement associated with a particular conflict, campaign, or entity.
-
E.
theatreOf
Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.