Triple
T1246035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyde Park |
E26766
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | South Tampa |
E3075
|
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: South Tampa | Statement: [Hyde Park, isPartOf, South Tampa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Tampa Context triple: [Hyde Park, isPartOf, South Tampa]
-
A.
Downtown Tampa
Downtown Tampa is the central business and entertainment district of Tampa, Florida, featuring a mix of corporate offices, cultural venues, waterfront attractions, and residential developments.
-
B.
Altamonte Springs
Altamonte Springs is a suburban city in the Orlando metropolitan area of Central Florida, known for its residential communities, shopping centers, and recreational amenities.
-
C.
Altadena
Altadena is an unincorporated community in Los Angeles County, California, located in the foothills of the San Gabriel Mountains just north of Pasadena.
-
D.
Tampa, Florida
chosen
Tampa, Florida is a major city on Florida’s Gulf Coast known for its professional sports teams, port and business center, and role as a key hub in the greater Tampa Bay area.
-
E.
Lakeland
Lakeland is a residential neighborhood located within the city of College Park in Prince George's County, Maryland.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf65c41c8190b4c65e015d1264c0 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93c420f08190a6eda4d0aa498a3a |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.