Triple
T10803163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Tigers |
E254894
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Baton Rouge |
E78636
|
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: Baton Rouge | Statement: [Lady Tigers, city, Baton Rouge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baton Rouge Context triple: [Lady Tigers, city, Baton Rouge]
-
A.
Baton Rouge, Louisiana
chosen
Baton Rouge, Louisiana is the capital city of Louisiana, known for its role as a political, industrial, and cultural center along the Mississippi River.
-
B.
New Orleans
New Orleans is a historic port city in southeastern Louisiana known for its vibrant jazz music, Creole cuisine, and distinctive French and Spanish-influenced architecture.
-
C.
Shreveport
Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
-
D.
Bossier City
Bossier City is a mid-sized city in northwestern Louisiana, located across the Red River from Shreveport and known as part of a regional economic and casino-gaming hub.
-
E.
Opelousas, Louisiana
Opelousas, Louisiana is a historic city in south-central Louisiana known as a center of Creole and Zydeco culture and music.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336feff88190b638b7d62d34da0e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373d238b88190a6f44fecfb64410c |
completed | April 18, 2026, 12:06 p.m. |
Created at: April 8, 2026, 9:18 p.m.