Triple
T13393178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Horizon |
E319626
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Shangri-La |
E319629
|
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: Shangri-La | Statement: [Lost Horizon, setIn, Shangri-La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shangri-La Context triple: [Lost Horizon, setIn, Shangri-La]
-
A.
Shangri-La
chosen
Shangri-La is a fictional Himalayan utopia depicted as a hidden, peaceful, and eternally youthful paradise.
-
B.
Shangri-La Woods
Shangri-La Woods is a themed attraction area within the Happy Valley Shenzhen amusement park, designed to evoke a mystical, nature-filled fantasy world.
-
C.
Shangri-La City
Shangri-La City is a county-level city in northwestern Yunnan, China, known for its Tibetan cultural heritage, high-altitude landscapes, and role as a gateway to nearby national parks and Himalayan scenery.
-
D.
Lost in Shangri-La
Lost in Shangri-La is a nonfiction book by Mitchell Zuckoff that recounts the true story of a World War II plane crash in New Guinea and the dramatic survival and rescue of its passengers.
-
E.
Shangri-La Dee Da
Shangri-La Dee Da is a 2001 studio album by American rock band Stone Temple Pilots that blends hard rock with more melodic, experimental elements.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306fb8348190a325a07a1ac858fd |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.