Triple
T29545518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Imperial Force |
E749619
|
entity |
| Predicate | primaryTheatreOfWar |
P139535
|
FINISHED |
| Object | Western Front |
—
|
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: Western Front | Statement: [Australian Imperial Force, primaryTheatreOfWar, Western Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTheatreOfWar Context triple: [Australian Imperial Force, primaryTheatreOfWar, Western Front]
-
A.
hasPrimaryTheatreOfWar
chosen
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
-
B.
primaryBattlefieldOf
Indicates that a specified location serves as the main or most significant battlefield where a particular conflict or war primarily took place.
-
C.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
D.
countryDuringWar
Indicates that a country exists or participates as a relevant actor during a specified war or armed conflict.
-
E.
countryDuringBattle
Indicates that a specified country was involved in or existed as a relevant participant or context during a particular battle.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a013f09b0988190ba3179c7d56c726a |
completed | May 11, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_6a013e600e248190a1a9c363702c8586 |
completed | May 11, 2026, 2:26 a.m. |
Created at: April 28, 2026, 5:07 p.m.