Triple
T12396521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chantiers de l’Atlantique |
E296130
|
entity |
| Predicate | shipyardArea |
P104722
|
FINISHED |
| Object | approximately 150 hectares |
—
|
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: approximately 150 hectares | Statement: [Chantiers de l’Atlantique, shipyardArea, approximately 150 hectares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipyardArea Context triple: [Chantiers de l’Atlantique, shipyardArea, approximately 150 hectares]
-
A.
shipyard
Indicates a relationship where a location functions as a facility for building, repairing, or maintaining ships.
-
B.
shipyardOperator
Indicates that one entity operates, manages, or runs the shipyard associated with another entity.
-
C.
shipbuildingActivity
Indicates the activity or process of constructing, assembling, or significantly modifying ships or large watercraft.
-
D.
hullConstruction
Indicates the process or activity of building, assembling, or forming the main body (hull) of a vessel or similar structure.
-
E.
shipDraft
Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93fa244148190a960be3ff6f1cf45 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.