Triple
T3468250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnesia |
E73188
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rizous
Rizous is a locality within the regional unit of Magnesia in central Greece.
|
E361842
|
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: Rizous | Statement: [Magnesia, contains, Rizous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rizous Context triple: [Magnesia, contains, Rizous]
-
A.
Mizos
Mizos are an indigenous Tibeto-Burman–speaking ethnic group primarily inhabiting the hilly regions of Northeast India’s Mizoram state and neighboring areas of Myanmar and Bangladesh, known for their distinct culture, festivals, and Christian-majority society.
-
B.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
C.
Shinkiari
Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
-
D.
Rie
Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
-
E.
Nozomi
Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
- 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: Rizous Triple: [Magnesia, contains, Rizous]
Generated description
Rizous is a locality within the regional unit of Magnesia in central Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rizous Target entity description: Rizous is a locality within the regional unit of Magnesia in central Greece.
-
A.
Mizos
Mizos are an indigenous Tibeto-Burman–speaking ethnic group primarily inhabiting the hilly regions of Northeast India’s Mizoram state and neighboring areas of Myanmar and Bangladesh, known for their distinct culture, festivals, and Christian-majority society.
-
B.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
C.
Shinkiari
Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
-
D.
Rie
Rie is a common diminutive or nickname form of the given name Marie, used in various European languages.
-
E.
Nozomi
Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb11ec5881908347bf92883a25ee |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680763608190acdd146dc7c0b239 |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36c4d77448190abe198ec9d48597d |
completed | March 13, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36cca06d48190bc72ad2e9bd9bdb5 |
completed | March 13, 2026, 1:47 a.m. |
Created at: March 8, 2026, 3:17 p.m.