Triple
T6539016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Airborne Division |
E168237
|
entity |
| Predicate | roleInOperationMarketGarden |
P56870
|
FINISHED |
| Object | airborne assault on Arnhem |
—
|
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: airborne assault on Arnhem | Statement: [1st Airborne Division, roleInOperationMarketGarden, airborne assault on Arnhem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInOperationMarketGarden Context triple: [1st Airborne Division, roleInOperationMarketGarden, airborne assault on Arnhem]
-
A.
roleInOperation
chosen
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
B.
laborMarketRole
Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
-
C.
roleInBerlinOperation
Indicates that one entity participated in the Berlin operation with a specific role or function in relation to another entity or the operation itself.
-
D.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
E.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:49 p.m.