Triple
T6130476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A57 road |
E136703
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Snake Pass |
E467213
|
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: Snake Pass | Statement: [A57 road, hasSection, Snake Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snake Pass Context triple: [A57 road, hasSection, Snake Pass]
-
A.
Snake Pass
chosen
Snake Pass is a high-altitude, winding road through the Peak District in northern England, known for its scenic views and challenging driving conditions.
-
B.
The Snake's Pass
The Snake's Pass is an 1890 adventure novel by Bram Stoker, set in rural Ireland and blending romance, folklore, and mystery around a legendary buried treasure.
-
C.
Thunder Pass
Thunder Pass is a mid-20th-century American Western film featuring actress Dorothy Patrick in a prominent role.
-
D.
The Glen
The Glen is a historic public park in Dunfermline, Scotland, known for its landscaped grounds, woodland walks, and cultural significance as part of Pittencrieff Park.
-
E.
The Glen
The Glen is a residential neighborhood located adjacent to the Palacefields area.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4de9c48190b98f67a6251ec1df |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135d080808190938e3a1095080850 |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.