Triple
T7797595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etowah County |
E180338
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Altoona
Altoona is a small town located in Etowah County in the state of Alabama, United States.
|
E695469
|
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: Altoona | Statement: [Etowah County, hasTown, Altoona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altoona Context triple: [Etowah County, hasTown, Altoona]
-
A.
Altoona
Altoona is a small suburban city in central Iowa known for its proximity to Des Moines and attractions like the Adventureland amusement park and Prairie Meadows casino and racetrack.
-
B.
Altoona, Pennsylvania
Altoona, Pennsylvania is a historic city in central Pennsylvania known for its deep ties to the railroad industry and its role as a major rail transportation hub.
-
C.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
-
D.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
E.
Wilkes-Barre
Wilkes-Barre is a small city in northeastern Pennsylvania known for its location along the Susquehanna River and its historical ties to coal mining and industry.
- 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: Altoona Triple: [Etowah County, hasTown, Altoona]
Generated description
Altoona is a small town located in Etowah County in the state of Alabama, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altoona Target entity description: Altoona is a small town located in Etowah County in the state of Alabama, United States.
-
A.
Altoona
Altoona is a small suburban city in central Iowa known for its proximity to Des Moines and attractions like the Adventureland amusement park and Prairie Meadows casino and racetrack.
-
B.
Altoona, Pennsylvania
Altoona, Pennsylvania is a historic city in central Pennsylvania known for its deep ties to the railroad industry and its role as a major rail transportation hub.
-
C.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
-
D.
Meadville
Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
-
E.
Wilkes-Barre
Wilkes-Barre is a small city in northeastern Pennsylvania known for its location along the Susquehanna River and its historical ties to coal mining and industry.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae982c3b48190a35afe655fb20d55 |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb140684ec8190aef5d3cb2e0ea948 |
completed | March 31, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69cb1a1414a08190912945cee30e6bc2 |
completed | March 31, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb3843368881908d7c4d5a81c53a23 |
completed | March 31, 2026, 2:58 a.m. |
Created at: March 30, 2026, 4:32 p.m.