Triple
T15284344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ocean Springs |
E365355
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Old Biloxi |
E74285
|
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: Old Biloxi | Statement: [Ocean Springs, originalName, Old Biloxi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Biloxi Context triple: [Ocean Springs, originalName, Old Biloxi]
-
A.
Tunica-Biloxi
Tunica-Biloxi is a federally recognized Native American tribe of the Southeastern Woodlands, historically based in the Lower Mississippi Valley and now centered in Louisiana.
-
B.
Beau Rivage (Biloxi)
Beau Rivage (Biloxi) is a major luxury casino resort and hotel located on the Gulf Coast in Biloxi, Mississippi.
-
C.
Biloxi
chosen
Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
-
D.
Bay St. Louis, Mississippi
Bay St. Louis, Mississippi is a small Gulf Coast city known for its historic downtown, waterfront setting, and proximity to NASA’s Stennis Space Center.
-
E.
Moss Point
Moss Point is a small coastal city in Jackson County, Mississippi, known for its location along the Pascagoula River and proximity to the Gulf Coast.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e53c9588190a6cb61ac8805c706 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef798a588190981c77e6f4c6be78 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.