Triple
T802059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffith Park |
E17149
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Mount Lee |
E27606
|
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: Mount Lee | Statement: [Griffith Park, hasAttraction, Mount Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Lee Context triple: [Griffith Park, hasAttraction, Mount Lee]
-
A.
Mount Lee
chosen
Mount Lee is a hill in the Hollywood Hills of Los Angeles best known as the site overlooking the iconic Hollywood Sign.
-
B.
Mount Tennent
Mount Tennent is a prominent mountain in the Australian Capital Territory known for its popular hiking trails and panoramic views within the Namadgi National Park.
-
C.
Mount Catherine
Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
-
D.
Mount Ainslie
Mount Ainslie is a prominent hill in Canberra, Australia, known for its popular lookout offering panoramic views over the city and its surrounding landscape.
-
E.
Elephant Mountain
Elephant Mountain is a popular hiking spot in Taipei known for its short trail and panoramic views of the city skyline and Taipei 101.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aa9e0f0081909d2a89387d6c08e1 |
completed | March 1, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf4f602481908f9c399063a605b9 |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:38 p.m.