Triple
T7580721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lantau Island |
E179478
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object | Lantau Peak |
E675121
|
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: Lantau Peak | Statement: [Lantau Island, hasMountain, Lantau Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lantau Peak Context triple: [Lantau Island, hasMountain, Lantau Peak]
-
A.
Lantau Peak
chosen
Lantau Peak is a prominent mountain in Hong Kong known for its sunrise views and popular hiking trails, including the Lantau Trail.
-
B.
Lion Rock
"Lion Rock" is a song by the British electronic music group Culture, recognized as one of their notable works.
-
C.
Pah Rah Peak
Pah Rah Peak is the tallest mountain in Nevada’s Pah Rah Range, known as a prominent summit in the region’s high desert landscape.
-
D.
Chek Lap Kok
Chek Lap Kok is a reclaimed island in Hong Kong best known as the site of Hong Kong International Airport.
-
E.
Victoria Peak
Victoria Peak is a famous mountain and scenic lookout in Hong Kong known for its panoramic views of the city skyline and Victoria Harbour.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97717048190b0ca1a74ed8a817e |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8683deac48190bf953088c6c232d5 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:52 p.m.