Triple
T14767992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrisburg Heat |
E347049
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Harrisburg |
E81277
|
NE FINISHED |
How this triple was built (2 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: Harrisburg | Statement: [Harrisburg Heat, homeCity, Harrisburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrisburg Context triple: [Harrisburg Heat, homeCity, Harrisburg]
-
A.
Harrisburg
Harrisburg is a small but growing city in southeastern South Dakota that functions largely as a residential suburb of nearby Sioux Falls.
-
B.
Harrisburg, Pennsylvania
chosen
Harrisburg, Pennsylvania is the capital city of the U.S. state of Pennsylvania, located along the Susquehanna River and known historically as a major transportation and industrial hub.
-
C.
Washington, Pennsylvania
Washington, Pennsylvania is a small city in southwestern Pennsylvania known for its historic role in the Whiskey Rebellion and as home to Washington & Jefferson College.
-
D.
Scranton
Scranton is a historic industrial city in northeastern Pennsylvania known for its coal-mining heritage, railroads, and role as a cultural and economic center of the region.
-
E.
Philadelphia–Harrisburg
Philadelphia–Harrisburg is the key intercity rail segment in Pennsylvania linking the state’s largest city with its capital along Amtrak’s Keystone Corridor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f0d948819080cc759ca599503d |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:30 a.m.