Triple
T8792867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen's Park Savannah |
E209211
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | the Savannah |
E49314
|
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: the Savannah | Statement: [Queen's Park Savannah, hasNickname, the Savannah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Savannah Context triple: [Queen's Park Savannah, hasNickname, the Savannah]
-
A.
Savannah
Savannah is a residential district and one of the main suburban communities on Grand Cayman in the Cayman Islands.
-
B.
Savannah
Savannah is a feminine given name of Spanish origin meaning "treeless plain," commonly used in English-speaking countries.
-
C.
Savannah
chosen
Savannah is a historic coastal city in the U.S. state of Georgia, renowned for its well-preserved architecture, cobblestone squares, and rich Southern cultural heritage.
-
D.
Tallassee
Tallassee is a small city in central Alabama known for its location along the Tallapoosa River and its historic textile mill heritage.
-
E.
Aiken
Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8f9eb08190bd709f3c8e09412f |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f493f648190b0e9392f1abb44a1 |
completed | April 3, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:43 p.m.