Triple
T11303486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maritime Region of Togo |
E267654
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Aného
Aného is a historic coastal town in southeastern Togo that once served as the country’s capital and remains an important center of Ewe culture and Atlantic trade heritage.
|
E916991
|
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: Aného | Statement: [Maritime Region of Togo, hasSettlement, Aného]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aného Context triple: [Maritime Region of Togo, hasSettlement, Aného]
-
A.
Anezal
Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
-
B.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
C.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
D.
Aneka
Aneka is a skilled Wakandan warrior and former leader of the Dora Milaje in Marvel Comics, known for her defiance of tradition and partnership with fellow warrior Ayo.
-
E.
Anini
Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
- 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: Aného Triple: [Maritime Region of Togo, hasSettlement, Aného]
Generated description
Aného is a historic coastal town in southeastern Togo that once served as the country’s capital and remains an important center of Ewe culture and Atlantic trade heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aného Target entity description: Aného is a historic coastal town in southeastern Togo that once served as the country’s capital and remains an important center of Ewe culture and Atlantic trade heritage.
-
A.
Anezal
Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
-
B.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
C.
Némi
Némi is an Oceanic language spoken by a small indigenous community in New Caledonia.
-
D.
Aneka
Aneka is a skilled Wakandan warrior and former leader of the Dora Milaje in Marvel Comics, known for her defiance of tradition and partnership with fellow warrior Ayo.
-
E.
Anini
Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510f9edb4819097e9fa1ce85504ed |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.