Triple
T8984293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coal City, Illinois |
E214616
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Coal City
Coal City is a small village in Grundy County, Illinois, known historically for its coal mining roots and close-knit community.
|
E771600
|
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: [Coal City, Illinois, hasName, Coal City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coal City Context triple: [Coal City, Illinois, hasName, Coal City]
-
A.
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.
-
B.
Coal City
Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
-
C.
Oil City
Oil City is a small city in northwestern Pennsylvania historically known as a center of the early American oil industry.
-
D.
Nickel City
Nickel City is a nickname for Sudbury, Ontario, reflecting its historic importance as a major global center for nickel mining and production.
-
E.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
- 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: [Coal City, Illinois, hasName, Coal City]
Generated description
Coal City is a small village in Grundy County, Illinois, known historically for its coal mining roots and close-knit community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coal City Target entity description: Coal City is a small village in Grundy County, Illinois, known historically for its coal mining roots and close-knit community.
-
A.
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.
-
B.
Coal City
Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
-
C.
Oil City
Oil City is a small city in northwestern Pennsylvania historically known as a center of the early American oil industry.
-
D.
Nickel City
Nickel City is a nickname for Sudbury, Ontario, reflecting its historic importance as a major global center for nickel mining and production.
-
E.
Parlor City
Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ecc5188190a6fb4d5456893121 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0b89a7481908f747043d2a68a37 |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd14a28d48190b63561f9a537daeb |
completed | April 3, 2026, 2:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd1fd6db08190921285c3cfd3ce91 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:03 p.m.