Triple
T20192559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lylat System |
E493009
|
entity |
| Predicate | hasPlanet |
P7294
|
FINISHED |
| Object |
Fortuna
Fortuna is a lush, forested planet in the Lylat System known for its wildlife and frequent battleground role in the Star Fox video game series.
|
E1416202
|
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: Fortuna | Statement: [Lylat System, hasPlanet, Fortuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortuna Context triple: [Lylat System, hasPlanet, Fortuna]
-
A.
Fortuna
Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
-
B.
Fortuna
Fortuna is a prominent Central European betting and gaming company known for sponsoring major sports competitions, including top-tier football leagues.
-
C.
Fortuna
Fortuna is a municipality in Spain’s Region of Murcia, known for its thermal baths and natural landscapes.
-
D.
Fortuna Primigenia
Fortuna Primigenia was an important ancient Roman goddess of fortune and fate, especially venerated at Praeneste as a powerful oracular deity.
-
E.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
- 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: Fortuna Triple: [Lylat System, hasPlanet, Fortuna]
Generated description
Fortuna is a lush, forested planet in the Lylat System known for its wildlife and frequent battleground role in the Star Fox video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fortuna Target entity description: Fortuna is a lush, forested planet in the Lylat System known for its wildlife and frequent battleground role in the Star Fox video game series.
-
A.
Fortuna
Fortuna is a German professional football club based in Düsseldorf, known for its long history and fluctuating presence between the top tiers of German football.
-
B.
Fortuna
Fortuna is a municipality in Spain’s Region of Murcia, known for its thermal baths and natural landscapes.
-
C.
Fortuna
Fortuna is a prominent Central European betting and gaming company known for sponsoring major sports competitions, including top-tier football leagues.
-
D.
Fortuna Primigenia
Fortuna Primigenia was an important ancient Roman goddess of fortune and fate, especially venerated at Praeneste as a powerful oracular deity.
-
E.
Tyche
Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
- F. None of above. chosen
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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c885e788190888c76b925f290e0 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d20eb908190b82d668beed3789b |
completed | May 16, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e49d5988190b41e8ce5bcebeca5 |
completed | May 16, 2026, 9:52 a.m. |
Created at: April 11, 2026, 11:37 p.m.