Triple
T6318145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Region |
E141665
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Oda
Oda is a town located in the Eastern Region of Ghana, known for its role as a local commercial and administrative center.
|
E583498
|
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: Oda | Statement: [Eastern Region, containsTown, Oda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oda Context triple: [Eastern Region, containsTown, Oda]
-
A.
Oda
Oda was a medieval noblewoman best known as the mother of Bernard I, Duke of Saxony, and a member of the influential Saxon aristocracy.
-
B.
Oschiri
Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
-
C.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
D.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
E.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
- 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: Oda Triple: [Eastern Region, containsTown, Oda]
Generated description
Oda is a town located in the Eastern Region of Ghana, known for its role as a local commercial and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oda Target entity description: Oda is a town located in the Eastern Region of Ghana, known for its role as a local commercial and administrative center.
-
A.
Oda
Oda was a medieval noblewoman best known as the mother of Bernard I, Duke of Saxony, and a member of the influential Saxon aristocracy.
-
B.
Oschiri
Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
-
C.
Ōtoku
Ōtoku was a Japanese era name (nengō) of the late 11th century, used during the reign of Emperor Shirakawa.
-
D.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
-
E.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e47ecea08190828af72d30d69a8c |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e65cb59c8190a6c43dfcf3da7334 |
completed | March 27, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e723fbd08190b41d3089e4af117e |
completed | March 27, 2026, 2:10 a.m. |
Created at: March 22, 2026, 4:29 p.m.