Triple
T1299616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Crete |
E27730
|
entity |
| Predicate | hasMainPhase |
P7628
|
FINISHED |
| Object | German airborne landings on 20 May 1941 |
—
|
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: German airborne landings on 20 May 1941 | Statement: [Battle of Crete, hasMainPhase, German airborne landings on 20 May 1941]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainPhase Context triple: [Battle of Crete, hasMainPhase, German airborne landings on 20 May 1941]
-
A.
mainPhase
chosen
Indicates that an event, action, or state occurs during the primary or central phase of a larger process or sequence.
-
B.
hasMainProponent
Indicates that one entity is the primary advocate, champion, or leading supporter of another entity.
-
C.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
-
D.
hasMajorCurrent
Indicates that an entity currently has a primary field of study or specialization.
-
E.
hasMajorBranch
Indicates that one entity possesses or includes another entity as a primary or principal subdivision or branch.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.