Triple
T14170108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volunteer Stadium |
E351182
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Williamsport |
E81809
|
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: Williamsport | Statement: [Volunteer Stadium, city, Williamsport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamsport Context triple: [Volunteer Stadium, city, Williamsport]
-
A.
Williamsport, Pennsylvania
chosen
Williamsport, Pennsylvania is a city in north-central Pennsylvania best known as the birthplace of Little League Baseball and host of the annual Little League World Series.
-
B.
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.
-
C.
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.
-
D.
Altoona
Altoona is a small town located in Etowah County in the state of Alabama, United States.
-
E.
Mattersburg
Mattersburg is a small Austrian town that serves as an important local center in the eastern state of Burgenland.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64789fc88190a3a000e4ee8fe83e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:01 a.m.