Triple
T19500166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suwanee |
E487880
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Town Center |
—
|
NE NERFINISHED |
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: Town Center | Statement: [Suwanee, hasDistrict, Town Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town Center Context triple: [Suwanee, hasDistrict, Town Center]
-
A.
Town Center
Town Center is a shopping and dining district within Disney Springs at Walt Disney World, themed as a Mediterranean-inspired waterfront town.
-
B.
The Town Center
chosen
The Town Center is a central commercial and social hub, typically featuring shops, restaurants, and public gathering spaces that serve as the focal point of community activity.
-
C.
Downtown Center
Downtown Center is an urban Broward College campus location serving students in the heart of downtown with higher-education programs and services.
-
D.
Downtown Center
Downtown Center is a Pensacola State College campus located in downtown Pensacola that offers higher education courses and workforce training programs.
-
E.
Downtown Mall
Downtown Mall is a historic pedestrian-only shopping and dining district in downtown Charlottesville, Virginia, known for its brick-paved streets, restored buildings, and vibrant cultural scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349462108190bb763b4e03bf000d |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.