Triple
T4120737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ver-sur-Mer |
E92604
|
entity |
| Predicate | partOfLandingSector |
P54398
|
FINISHED |
| Object | British sector of Normandy landings |
—
|
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: British sector of Normandy landings | Statement: [Ver-sur-Mer, partOfLandingSector, British sector of Normandy landings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfLandingSector Context triple: [Ver-sur-Mer, partOfLandingSector, British sector of Normandy landings]
-
A.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
B.
partOfAirportLocatedIn
Indicates that a specific part or component of an airport is geographically or administratively located within a particular area or region.
-
C.
partOfRunwayComplex
Indicates that one runway or runway-related element is a constituent component of a larger runway complex.
-
D.
isPartOfAirportLayout
Indicates that something is a component or element within the overall physical or functional layout of an airport.
-
E.
plannedLandingMethod
Indicates that an entity has designated a specific method or procedure to be used for its landing.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0245adbc81908b89a40850047975 |
completed | March 9, 2026, 5:24 p.m. |
Created at: March 9, 2026, 3:41 p.m.