Triple
T4835411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scorpius |
E108045
|
entity |
| Predicate | containsStar |
P1393
|
FINISHED |
| Object |
Sargas
Sargas is a bright giant star in the constellation Scorpius, notable for its luminosity and relatively close distance to Earth.
|
E472723
|
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: Sargas | Statement: [Scorpius, containsStar, Sargas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sargas Context triple: [Scorpius, containsStar, Sargas]
-
A.
Mandraki
Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
-
B.
Mandraki
Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
-
C.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
-
D.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
E.
Toaripi Lauti
Toaripi Lauti was a Tuvaluan politician who became the country's first prime minister following its independence.
- 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: Sargas Triple: [Scorpius, containsStar, Sargas]
Generated description
Sargas is a bright giant star in the constellation Scorpius, notable for its luminosity and relatively close distance to Earth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sargas Target entity description: Sargas is a bright giant star in the constellation Scorpius, notable for its luminosity and relatively close distance to Earth.
-
A.
Mandraki
Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
-
B.
Mandraki
Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
-
C.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
-
D.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
E.
Toaripi Lauti
Toaripi Lauti was a Tuvaluan politician who became the country's first prime minister following its independence.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce00cd48190a675fb75eae152c2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dda71e08190a28215f91405a4e1 |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e7718708190a5eccce7ac124068 |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4f27f5a48190b639c9212e46f21d |
completed | March 21, 2026, 7:56 a.m. |
Created at: March 20, 2026, 1:25 p.m.