Triple
T12056671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Town city bowl |
E287059
|
entity |
| Predicate | boundedBy |
P224
|
FINISHED |
| Object | Devil's Peak |
E859254
|
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: Devil's Peak | Statement: [Cape Town city bowl, boundedBy, Devil's Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devil's Peak Context triple: [Cape Town city bowl, boundedBy, Devil's Peak]
-
A.
Devil's Peak
chosen
Devil's Peak is a prominent mountain in Cape Town, South Africa, forming part of the city’s iconic skyline alongside Table Mountain and Lion’s Head.
-
B.
Devil’s Peak
Devil’s Peak, also known as Picacho del Diablo, is the highest and one of the most rugged and remote summits in Mexico’s Sierra de San Pedro Mártir mountain range in Baja California.
-
C.
Devils Peak
Devils Peak is the tallest mountain on Santa Cruz Island in California’s Channel Islands, known for its rugged terrain and panoramic coastal views.
-
D.
Lovers Peak
"Lovers Peak" is a song featured on the album "Gravitas."
-
E.
Ultar Peak
Ultar Peak is a prominent and technically challenging mountain in the Karakoram range of northern Pakistan, known for its steep granite faces and difficult climbing routes.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64f40388190bfb3d2a81d5fbf5e |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.