Triple
T3024406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enugu |
E82541
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Coal City
Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
|
E321197
|
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: Coal City | Statement: [Enugu, hasNickname, Coal City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coal City Context triple: [Enugu, hasNickname, Coal City]
-
A.
Gate City
Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
-
B.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
C.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
-
D.
River City
River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
-
E.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
- 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: Coal City Triple: [Enugu, hasNickname, Coal City]
Generated description
Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coal City Target entity description: Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
-
A.
Gate City
Gate City is a commonly used nickname for Greensboro, North Carolina, reflecting its historic role as a major transportation and commercial hub.
-
B.
Limestone City
Limestone City is a nickname for Kingston, Ontario, reflecting its many historic buildings constructed from local limestone.
-
C.
Steeltown
Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
-
D.
River City
River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
-
E.
River City
River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deb342008190bec8fbaa4074d40c |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1e2b963988190ae803402481ef0f6 |
completed | March 11, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e33d6d848190a40e7c136aff17c0 |
completed | March 11, 2026, 9:48 p.m. |
Created at: March 8, 2026, 3 p.m.