Triple
T12077977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adirondak Loj trailheads |
E287600
|
entity |
| Predicate | hasAccessTo |
P1017
|
FINISHED |
| Object | Mount Jo |
E293874
|
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 Jo | Statement: [Adirondak Loj trailheads, hasAccessTo, Mount Jo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Jo Context triple: [Adirondak Loj trailheads, hasAccessTo, Mount Jo]
-
A.
Mount Jo
chosen
Mount Jo is a small, popular peak in New York’s Adirondack Mountains known for its short hike and expansive views of the High Peaks region.
-
B.
Mount Eddy
Mount Eddy is a prominent peak in Northern California known for its alpine terrain, diverse geology, and extensive hiking opportunities within the Klamath Mountains region.
-
C.
Mount Lavinia
Mount Lavinia is a coastal suburb of Colombo in Sri Lanka, known for its popular beach, colonial-era architecture, and vibrant residential and tourist areas.
-
D.
Mount Oread
Mount Oread is the prominent hill in Lawrence, Kansas that serves as the main site of the University of Kansas campus.
-
E.
Mount Haystack
Mount Haystack is a prominent Adirondack High Peak in New York, known for its challenging hike and expansive summit views.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045e81f88190be2b1aabd93f077c |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a7c2b0081909994ea88683a39f4 |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:48 p.m.