Triple
T16750868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damascus, Georgia |
E407071
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Damascus, Georgia |
E407071
|
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: Damascus, Georgia | Statement: [Damascus, Georgia, hasOfficialName, Damascus, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damascus, Georgia Context triple: [Damascus, Georgia, hasOfficialName, Damascus, Georgia]
-
A.
Damascus, Georgia
chosen
Damascus, Georgia is a small rural town located in southwestern Georgia within Early County.
-
B.
Bethlehem, Georgia
Bethlehem, Georgia is a small town in northeastern Georgia known for its Christmas-themed name and seasonal postmark that attracts holiday mail from across the country.
-
C.
Dublin, Georgia
Dublin, Georgia is a small city in Laurens County known as a regional hub in central Georgia with a historic downtown and annual St. Patrick’s Festival.
-
D.
Fairmount, Georgia
Fairmount, Georgia is a small rural city in northwestern Georgia known for its quiet community and proximity to the foothills of the Appalachian Mountains.
-
E.
Cairo, Georgia
Cairo, Georgia is a small city in the southwestern part of the state known for its agricultural economy and historic downtown.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.