Triple
T18485454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe Island |
E451676
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Mount Augusta |
—
|
NE NERFINISHED |
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 Augusta | Statement: [Guadalupe Island, hasHighestPoint, Mount Augusta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Augusta Context triple: [Guadalupe Island, hasHighestPoint, Mount Augusta]
-
A.
Mount Augusta
chosen
Mount Augusta is a prominent, glaciated peak in the Saint Elias Mountains on the Alaska–Yukon border, known for its dramatic relief and remote, rugged setting.
-
B.
Mount Pleasant
Mount Pleasant is a prominent sandstone bluff and scenic overlook in Lancaster, Ohio, known for its hiking trails and panoramic views of the surrounding area.
-
C.
Mount Pleasant
Mount Pleasant is a suburban town in Westchester County, New York, known for its residential communities and proximity to major reservoirs and parklands.
-
D.
Mount Pleasant
Mount Pleasant is a prominent hill and scenic overlook in Rising Park, known for its panoramic views of the surrounding area.
-
E.
Mount Pleasant
Mount Pleasant is a residential neighbourhood within the town of Bedworth in Warwickshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d6502c8190af167b954bf8e989 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.