Triple
T8634396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLVI halftime show |
E204484
|
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: [Super Bowl XLVI halftime show, city, Indianapolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indianapolis Context triple: [Super Bowl XLVI halftime show, 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.
Evansville
Evansville is a major city in southwestern Indiana located along the Ohio River and serving as a regional economic and cultural hub.
-
D.
South Bend, Indiana
South Bend, Indiana is a mid-sized city in northern Indiana known for its manufacturing heritage, proximity to the University of Notre Dame, and role as an economic and cultural hub of the region.
-
E.
Lafayette, Indiana
Lafayette, Indiana is a mid-sized city in northwestern Indiana known as a regional economic and educational hub near Purdue University.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc475fb9dc8190bd0d6e5edd05ea79 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9f4e2d881908fb539e842c20e8d |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:27 p.m.