Triple
T6588534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishorn |
E159288
|
entity |
| Predicate | viewOf |
P854
|
FINISHED |
| Object | Dent Blanche |
E145806
|
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: Dent Blanche | Statement: [Bishorn, viewOf, Dent Blanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dent Blanche Context triple: [Bishorn, viewOf, Dent Blanche]
-
A.
Dent Blanche
chosen
Dent Blanche is a prominent, pyramid-shaped mountain in the Swiss Pennine Alps, renowned for its striking appearance and challenging alpine climbs.
-
B.
Dunvant
Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
-
C.
Giant’s Tooth
Giant’s Tooth is the English name for the Dent du Géant, a prominent jagged granite peak in the Mont Blanc massif of the Alps renowned among climbers.
-
D.
Dolgan
Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
-
E.
Romney Sands
Romney Sands is a coastal holiday resort area in Kent, England, known for its sandy beach, caravan parks, and proximity to the Romney, Hythe and Dymchurch Railway.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeb0e9d88190aa861e742ff6804e |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbb00cc48190a49afdb82a267043 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:55 p.m.