Triple
T13681153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler Fieldhouse |
E328005
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Indianapolis |
E58849
|
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: Indianapolis | Statement: [Butler Fieldhouse, city, Indianapolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indianapolis Context triple: [Butler Fieldhouse, city, Indianapolis]
-
A.
Indianapolis
chosen
Indianapolis is the capital and most populous city of the U.S. state of Indiana, known for its major sports franchises and hosting the annual Indianapolis 500 auto race.
-
B.
Indy
Indy is the adventurous archaeologist and whip-wielding hero at the center of the Indiana Jones film franchise.
-
C.
Indy
Indy is a recurring character in the animated children's series "Bluey," known as one of Bluey's imaginative and energetic dog friends.
-
D.
Columbus, Indiana
Columbus, Indiana is a small Midwestern city renowned for its exceptional collection of modernist architecture and public art.
-
E.
Evansville
Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b056ae388190803458d8fd0331e9 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.