Triple
T10286572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillikin Country |
E241242
|
entity |
| Predicate | border |
P224
|
FINISHED |
| Object | Emerald City |
E115953
|
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: Emerald City | Statement: [Gillikin Country, border, Emerald City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emerald City Context triple: [Gillikin Country, border, Emerald City]
-
A.
Emerald City
Emerald City is a popular nickname for Seattle, highlighting the city's lush greenery and evergreen landscapes.
-
B.
Emerald City
chosen
Emerald City is the dazzling, green-hued capital of the Land of Oz and the central destination in L. Frank Baum’s classic tale "The Wonderful Wizard of Oz."
-
C.
Emerald City
Emerald City is a dark, modern television reimagining of L. Frank Baum’s Oz stories, blending fantasy and political intrigue.
-
D.
Star City
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
-
E.
Star City
Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b8343c819087c50e5471c46e3f |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d0b40d081908eb3f7ba24352a42 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:40 a.m.