Triple
T14013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D-Day |
E280
|
entity |
| Predicate | navalVesselsAlliedApprox |
P691
|
FINISHED |
| Object | over 5000 ships and landing craft |
—
|
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: over 5000 ships and landing craft | Statement: [D-Day, navalVesselsAlliedApprox, over 5000 ships and landing craft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navalVesselsAlliedApprox Context triple: [D-Day, navalVesselsAlliedApprox, over 5000 ships and landing craft]
-
A.
hasCoastlineOn
Indicates that one entity’s coastline borders or is directly adjacent to a specified body of water.
-
B.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
C.
majorPowerIn
Indicates that an entity holds significant political, economic, or military influence within a specified domain, region, or context.
-
D.
wasColonyOf
Indicates that one entity functioned as a colony under the political control or administration of another entity.
-
E.
isCommanderInChiefOf
Indicates that one entity holds the highest authority and ultimate command over the armed forces or military organization of another entity.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a240b249788190af8dbf7e80e9c91b |
completed | Feb. 28, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69a23feae8c481908d8c50faac01fc5c |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a240b1551c81908abcae128ea45d00 |
completed | Feb. 28, 2026, 1:11 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.