Triple
T15313278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octopus |
E366091
|
entity |
| Predicate | builder |
P3143
|
FINISHED |
| Object | Lürssen |
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: Lürssen | Statement: [Octopus, builder, Lürssen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lürssen Context triple: [Octopus, builder, Lürssen]
-
A.
Lürssen
chosen
Lürssen is a renowned German shipyard specializing in the design and construction of luxury superyachts and naval vessels.
-
B.
Ferretti
Ferretti is an Italian surname most notably associated with acclaimed film production designer and art director Dante Ferretti.
-
C.
Mastai-Ferretti
Mastai-Ferretti is the Italian noble family from which Giovanni Maria Mastai-Ferretti, later Pope Pius IX, originated.
-
D.
Meyer Werft
Meyer Werft is a major German shipbuilding company renowned for constructing large, modern cruise ships at its shipyard in Papenburg.
-
E.
Hanse Sail
Hanse Sail is a major annual maritime festival in Rostock, Germany, renowned for its gathering of traditional sailing ships and large windjammers from around the world.
- 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_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.