Triple
T12469024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welsh 3000s |
E298003
|
entity |
| Predicate | includesPeak |
P53629
|
FINISHED |
| Object | Foel-fras |
E853172
|
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: Foel-fras | Statement: [Welsh 3000s, includesPeak, Foel-fras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foel-fras Context triple: [Welsh 3000s, includesPeak, Foel-fras]
-
A.
Foel-fras
chosen
Foel-fras is a prominent mountain in the Carneddau range of Snowdonia, North Wales, known for its broad grassy summit and extensive views.
-
B.
Freur
Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
-
C.
Frogn
Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
-
D.
Frafra
Frafra are an ethnic group of northern Ghana, known for their Gurunsi-related language, distinctive mud architecture, and rich agricultural and craft traditions.
-
E.
Farlaf
Farlaf is a cowardly and treacherous character in Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known for betraying the hero Ruslan out of jealousy.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db979c481908778188794b2c08e |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2175c48190bbd28ad8c07434f0 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.