Triple
T11187002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Beard Delany |
E264696
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | St. Marys, Georgia |
E268440
|
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: St. Marys, Georgia | Statement: [Henry Beard Delany, placeOfBirth, St. Marys, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Marys, Georgia Context triple: [Henry Beard Delany, placeOfBirth, St. Marys, Georgia]
-
A.
St. Marys, Georgia
chosen
St. Marys, Georgia is a historic coastal town in southeastern Georgia known as a gateway to Cumberland Island and the surrounding marshes and waterways.
-
B.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
-
C.
Argyle, Georgia
Argyle, Georgia is a small rural town in southern Georgia known for its quiet community and location within Clinch County.
-
D.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
E.
Statesboro, Georgia
Statesboro, Georgia is a small city in southeastern Georgia known as a regional hub for education, commerce, and as the home of Georgia Southern University.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8abbeac8190ad6e419258999f4e |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01869e6c8819093f2768b57b183aa |
completed | April 28, 2026, 2:16 a.m. |
Created at: April 8, 2026, 9:29 p.m.