Triple
T15742768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umana Yana |
E381639
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Georgetown |
E355891
|
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: Georgetown | Statement: [Umana Yana, city, Georgetown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgetown Context triple: [Umana Yana, city, Georgetown]
-
A.
Georgetown
Georgetown is a historic Gold Rush–era community in Northern California known for its preserved 19th-century character and role in the state's mining history.
-
B.
Georgetown
Georgetown is a historic and affluent Washington, D.C. neighborhood known for its cobblestone streets, waterfront, upscale shops, and Georgetown University.
-
C.
Georgetown
Georgetown is a rapidly growing city in Central Texas known for its historic downtown square, Victorian architecture, and proximity to Austin.
-
D.
Georgetown
chosen
Georgetown is a coastal town on the island of Saint Vincent in Saint Vincent and the Grenadines, known as one of the main settlements near the La Soufrière volcano.
-
E.
Georgetown
Georgetown is a historic Colorado mountain town known for its 19th-century silver mining heritage and well-preserved Victorian architecture.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd97d6c8190b2fa6ca422bfe512 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff83056aa0819098b757ed125e61fe |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.