Triple
T6106152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Region |
E136121
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Meyomessala
Meyomessala is a town located in the South Region of Cameroon, known as a local administrative and trading center in the area.
|
E568535
|
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: Meyomessala | Statement: [South Region, containsTown, Meyomessala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meyomessala Context triple: [South Region, containsTown, Meyomessala]
-
A.
Myene
Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
-
B.
Myus
Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
-
C.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
D.
Mēmele
Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
-
E.
Meleys
Meleys is a fearsome red she-dragon from George R.R. Martin’s "A Song of Ice and Fire" universe, famed for her speed and ridden in the Dance of the Dragons by Princess Rhaenys Targaryen.
- 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: Meyomessala Triple: [South Region, containsTown, Meyomessala]
Generated description
Meyomessala is a town located in the South Region of Cameroon, known as a local administrative and trading center in the area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meyomessala Target entity description: Meyomessala is a town located in the South Region of Cameroon, known as a local administrative and trading center in the area.
-
A.
Myene
Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
-
B.
Myus
Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
-
C.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
D.
Mēmele
Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
-
E.
Meleys
Meleys is a fearsome red she-dragon from George R.R. Martin’s "A Song of Ice and Fire" universe, famed for her speed and ridden in the Dance of the Dragons by Princess Rhaenys Targaryen.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1255759f48190a6aadf33406dcb49 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1275910108190a0a5f458a468c292 |
completed | March 23, 2026, 11:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c127b831d081909436a62e002d1fa5 |
completed | March 23, 2026, 11:44 a.m. |
Created at: March 22, 2026, 4:13 p.m.