Triple
T15313279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopus |
E366091
|
entity |
| Predicate | builder |
P3143
|
FINISHED |
| Object | Lurssen Werft |
E366092
|
NE 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: Lurssen Werft | Statement: [Octopus, builder, Lurssen Werft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lurssen Werft Context triple: [Octopus, builder, Lurssen Werft]
-
A.
Meyer Werft
Meyer Werft is a major German shipbuilding company renowned for constructing large, modern cruise ships at its shipyard in Papenburg.
-
B.
Lürssen
chosen
Lürssen is a renowned German shipyard specializing in the design and construction of luxury superyachts and naval vessels.
-
C.
Blohm+Voss shipyards
Blohm+Voss shipyards is a historic German shipbuilding and engineering company in Hamburg, renowned for constructing naval vessels, large commercial ships, and luxury yachts.
-
D.
Germaniawerft
Germaniawerft was a major German shipbuilding company and naval shipyard in Kiel, known for constructing warships for the Imperial German Navy and later the Kriegsmarine.
-
E.
Howaldtswerke-Deutsche Werft
Howaldtswerke-Deutsche Werft is a major German shipbuilding company renowned for designing and constructing advanced naval vessels and submarines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e70a308190a7d6b91178c39bd3 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:16 a.m.