Triple
T6307691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Region |
E141418
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Swedru
Swedru is a prominent commercial town in southern Ghana known for its role as a transport hub and marketplace in the Central Region.
|
E584731
|
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: Swedru | Statement: [Central Region, hasCity, Swedru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swedru Context triple: [Central Region, hasCity, Swedru]
-
A.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
-
B.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
C.
Sarazi
Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
-
D.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Shivta
Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
- 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: Swedru Triple: [Central Region, hasCity, Swedru]
Generated description
Swedru is a prominent commercial town in southern Ghana known for its role as a transport hub and marketplace in the Central Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swedru Target entity description: Swedru is a prominent commercial town in southern Ghana known for its role as a transport hub and marketplace in the Central Region.
-
A.
Anredera
Anredera is a genus of flowering vines known for their twining growth habit and fleshy leaves, some species of which are cultivated as ornamentals or edible plants.
-
B.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
C.
Sarazi
Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
-
D.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Shivta
Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647d38008190abaf96632712ddf9 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e45330ec8190945682962ae823b0 |
completed | March 27, 2026, 1:58 a.m. |
| NEDg | Description generation | batch_69c5ed89dbc88190abda05d9d06fb7b5 |
completed | March 27, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5ee08cc488190baaafc1e679f83aa |
completed | March 27, 2026, 2:40 a.m. |
Created at: March 22, 2026, 4:28 p.m.