Triple
T7628441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ozma of Oz |
E172696
|
entity |
| Predicate | featuresLocation |
P7690
|
FINISHED |
| Object | Nome Kingdom |
E653640
|
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: Nome Kingdom | Statement: [Ozma of Oz, featuresLocation, Nome Kingdom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nome Kingdom Context triple: [Ozma of Oz, featuresLocation, Nome Kingdom]
-
A.
Nome Kingdom
chosen
The Nome Kingdom is an underground domain in L. Frank Baum’s Oz universe, inhabited by the treasure-hoarding Nomes and ruled by the formidable Nome King.
-
B.
Monkey Kingdom
Monkey Kingdom is a nature documentary film directed by Alastair Fothergill that follows the lives and social dynamics of a troop of macaque monkeys in the jungles of Sri Lanka.
-
C.
Kingdom
Kingdom is a British television drama series set in a small Norfolk town, following the life and legal practice of a local solicitor and his eccentric family and clients.
-
D.
The Kingdom
The Kingdom is a colloquial nickname for the historic Kingdom of Fife region on Scotland’s east coast, known for its coastal towns, golf heritage, and medieval history.
-
E.
The Kingdom
The Kingdom is a 2007 action-thriller film that follows an FBI team investigating a deadly terrorist attack in Saudi Arabia, blending intense combat sequences with political intrigue.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa831f508190ab2f72326cdf4497 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870af222481909e341eebb78664d6 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.