Triple
T6123161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Indiana |
E136530
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tell City
Tell City is a small riverside community in southern Indiana known for its Swiss-German heritage and historic furniture-making industry.
|
E572011
|
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: Tell City | Statement: [Southern Indiana, contains, Tell City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell City Context triple: [Southern Indiana, contains, Tell City]
-
A.
Granite City
Granite City is a common nickname for Aberdeen, a Scottish port city famed for its extensive use of locally quarried grey granite in its architecture.
-
B.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
C.
Fort Crawford
Fort Crawford was a 19th-century U.S. Army frontier post in Prairie du Chien, Wisconsin, that played a key role in military, diplomatic, and medical history along the Upper Mississippi River.
-
D.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
E.
Elgin
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
- 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: Tell City Triple: [Southern Indiana, contains, Tell City]
Generated description
Tell City is a small riverside community in southern Indiana known for its Swiss-German heritage and historic furniture-making industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tell City Target entity description: Tell City is a small riverside community in southern Indiana known for its Swiss-German heritage and historic furniture-making industry.
-
A.
Granite City
Granite City is a common nickname for Aberdeen, a Scottish port city famed for its extensive use of locally quarried grey granite in its architecture.
-
B.
Eastland
Eastland is a surname most notably associated with James Eastland, a long-serving and influential U.S. senator from Mississippi.
-
C.
Fort Crawford
Fort Crawford was a 19th-century U.S. Army frontier post in Prairie du Chien, Wisconsin, that played a key role in military, diplomatic, and medical history along the Upper Mississippi River.
-
D.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
E.
Elgin
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c247b7081909972b40afb165e6f |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135abcef08190a899d7ba261ebb04 |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c13877c7148190aa4d583206a53185 |
completed | March 23, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138eccd4c8190bf540f84ba6c1d65 |
completed | March 23, 2026, 12:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.