Triple
T22546859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gump |
E557450
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Emerald City palace |
—
|
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: Emerald City palace | Statement: [Gump, associatedWith, Emerald City palace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emerald City palace Context triple: [Gump, associatedWith, Emerald City palace]
-
A.
Glinda's palace
Glinda's palace is the grand, magical residence of the Good Witch Glinda in the Quadling Country of L. Frank Baum's Land of Oz.
-
B.
Emerald City
Emerald City is a satirical Australian stage play by David Williamson that explores the ambitions and moral compromises of the film and publishing industries in Sydney.
-
C.
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."
-
D.
Emerald City
Emerald City is a dark, modern television reimagining of L. Frank Baum’s Oz stories, blending fantasy and political intrigue.
-
E.
Emerald City
Emerald City is a popular nickname for Seattle, highlighting the city's lush greenery and evergreen landscapes.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.