Triple
T11945634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Mississippi |
E284289
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Ocean Springs |
E365355
|
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: Ocean Springs | Statement: [Southern Mississippi, hasCity, Ocean Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Springs Context triple: [Southern Mississippi, hasCity, Ocean Springs]
-
A.
Ocean Springs
chosen
Ocean Springs is a coastal city in Mississippi known for its arts community, historic charm, and beaches along the Gulf of Mexico.
-
B.
Gulfport, Mississippi
Gulfport, Mississippi is a coastal city on the Gulf of Mexico known for its port, beaches, and role as a major urban center in southern Mississippi.
-
C.
Biloxi
Biloxi is a coastal Mississippi city known for its beaches, casinos, and seafood industry along the Gulf of Mexico.
-
D.
Gulfport Beach
Gulfport Beach is a popular coastal recreation area on the Gulf of Mexico known for its sandy shoreline, waterfront activities, and family-friendly atmosphere.
-
E.
Gulfport, Florida
Gulfport, Florida is a small waterfront city on Boca Ciega Bay known for its artsy downtown, historic charm, and vibrant community events.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f440ac6c68819094bd27058d13cd4d |
completed | May 1, 2026, 5:57 a.m. |
Created at: April 8, 2026, 9:45 p.m.