Triple
T721232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fang language |
E14619
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Mekè
Mekè is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
|
E97312
|
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: Mekè | Statement: [Fang language, hasDialect, Mekè]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mekè Context triple: [Fang language, hasDialect, Mekè]
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Surulere
Surulere is a bustling residential and commercial district on Lagos Mainland in Nigeria, known for its vibrant markets, entertainment scene, and dense urban neighborhoods.
-
C.
Wanetsi
Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
-
D.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
E.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
- 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: Mekè Triple: [Fang language, hasDialect, Mekè]
Generated description
Mekè is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mekè Target entity description: Mekè is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
A.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
B.
Surulere
Surulere is a bustling residential and commercial district on Lagos Mainland in Nigeria, known for its vibrant markets, entertainment scene, and dense urban neighborhoods.
-
C.
Wanetsi
Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
-
D.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
E.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58fa41c819082de2cc4e0cb2943 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d71a25c81908de9b9e59affb79f |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a78586d5a48190a1423bb4a8fc86b9 |
completed | March 4, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a785db28d48190a8f945598a3396d6 |
completed | March 4, 2026, 1:07 a.m. |
Created at: March 1, 2026, 7:37 p.m.