Triple
T14208980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gombe State |
E352175
|
entity |
| Predicate | localGovernmentArea |
P3379
|
FINISHED |
| Object |
Shongom
Shongom is a local government area in northeastern Nigeria known for its predominantly agrarian communities within Gombe State.
|
E1085790
|
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: Shongom | Statement: [Gombe State, localGovernmentArea, Shongom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shongom Context triple: [Gombe State, localGovernmentArea, Shongom]
-
A.
Mokama
Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
-
B.
Nyokum
Nyokum is a major agricultural and religious festival of the Nyishi tribe in Arunachal Pradesh, India, celebrated to invoke prosperity, harmony, and good harvest.
-
C.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
-
D.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
E.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
- 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: Shongom Triple: [Gombe State, localGovernmentArea, Shongom]
Generated description
Shongom is a local government area in northeastern Nigeria known for its predominantly agrarian communities within Gombe State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shongom Target entity description: Shongom is a local government area in northeastern Nigeria known for its predominantly agrarian communities within Gombe State.
-
A.
Mokama
Mokama is a town in the Patna district of Bihar, India, situated along the Ganges River and known as an important regional transport and industrial hub.
-
B.
Nyokum
Nyokum is a major agricultural and religious festival of the Nyishi tribe in Arunachal Pradesh, India, celebrated to invoke prosperity, harmony, and good harvest.
-
C.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
-
D.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
-
E.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19557f908190abb3dc116676f215 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1b198c6c81909b71a51a39711754 |
completed | May 7, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1bb585448190bc3393304980b808 |
completed | May 7, 2026, 11:09 p.m. |
Created at: April 10, 2026, 1:05 a.m.