Triple
T15149024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcazaba |
E361888
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Sabika Hill |
E361887
|
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: Sabika Hill | Statement: [Alcazaba, locatedOn, Sabika Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabika Hill Context triple: [Alcazaba, locatedOn, Sabika Hill]
-
A.
Baúl Hill
Baúl Hill is a prominent flat-topped mountain and archaeological site in southern Peru, known for its ancient Wari and Tiwanaku cultural remains.
-
B.
Mengo Hill
Mengo Hill is one of the historic hills of Kampala, Uganda, known as a traditional political and cultural center of the Buganda Kingdom.
-
C.
Sabika hill
chosen
Sabika hill is the prominent hill in Granada, Spain, on which the historic Alhambra palace and fortress complex is built.
-
D.
Harrison Hill
Harrison Hill is a wealthy and charismatic New York advertising executive who becomes the central figure in the mystery-thriller film "Perfect Stranger."
-
E.
Šiška Hill
Šiška Hill is a wooded elevation in Ljubljana, Slovenia, known as a popular recreational and walking area within the broader Tivoli–Rožnik–Šiška Hill landscape park.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c934048190afac78a8023a544a |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff281848190a094bd697b19aaf3 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.