Triple
T12396547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chantiers de l’Atlantique |
E296130
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
STX France
STX France was a major French shipbuilding company based in Saint-Nazaire, known for constructing large cruise ships and other complex vessels.
|
E296130
|
NE FINISHED |
How this triple was built (4 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: STX France | Statement: [Chantiers de l’Atlantique, hasFormerName, STX France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STX France Context triple: [Chantiers de l’Atlantique, hasFormerName, STX France]
-
A.
STXinternational
STXinternational is a film distribution company known for handling the international release of various feature films.
-
B.
STX
STX is the stock ticker symbol for Seagate Technology, a major data storage company known for manufacturing hard disk drives and related storage solutions.
-
C.
STX
STX is the IATA airport code for Henry E. Rohlsen Airport serving St. Croix in the U.S. Virgin Islands.
-
D.
Chantiers de l’Atlantique
Chantiers de l’Atlantique is a major French shipbuilding company renowned for constructing some of the world’s largest and most advanced cruise ships and ocean liners.
-
E.
Boskalis
Boskalis is a Dutch dredging and marine services company known for large-scale land reclamation, coastal engineering, and offshore infrastructure projects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: STX France Triple: [Chantiers de l’Atlantique, hasFormerName, STX France]
Generated description
STX France was a major French shipbuilding company based in Saint-Nazaire, known for constructing large cruise ships and other complex vessels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STX France Target entity description: STX France was a major French shipbuilding company based in Saint-Nazaire, known for constructing large cruise ships and other complex vessels.
-
A.
STXinternational
STXinternational is a film distribution company known for handling the international release of various feature films.
-
B.
STX
STX is the stock ticker symbol for Seagate Technology, a major data storage company known for manufacturing hard disk drives and related storage solutions.
-
C.
STX
STX is the IATA airport code for Henry E. Rohlsen Airport serving St. Croix in the U.S. Virgin Islands.
-
D.
Chantiers de l’Atlantique
chosen
Chantiers de l’Atlantique is a major French shipbuilding company renowned for constructing some of the world’s largest and most advanced cruise ships and ocean liners.
-
E.
Boskalis
Boskalis is a Dutch dredging and marine services company known for large-scale land reclamation, coastal engineering, and offshore infrastructure projects.
- F. None of above.
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347e27b4819085494babfe180488 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:54 p.m.