Triple
T15109800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peel region |
E360880
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ospel |
E578289
|
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: Ospel | Statement: [Peel region, contains, Ospel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ospel Context triple: [Peel region, contains, Ospel]
-
A.
Ospel
chosen
Ospel is a village in the Dutch province of Limburg, known as a gateway to the nearby De Groote Peel National Park and its peatland landscapes.
-
B.
Orcet
Orcet is a small commune in the Puy-de-Dôme department of central France, known as the birthplace of French revolutionary figure Georges Couthon.
-
C.
Alborosie
Alborosie is an Italian-born reggae artist and producer known for his roots-influenced sound and prominent role in contemporary Jamaican reggae music.
-
D.
Godrich
Godrich is the surname of Nigel Godrich, the renowned English record producer best known for his work with Radiohead.
-
E.
Okkervil River
Okkervil River is an American indie rock band known for its literate songwriting, narrative-driven albums, and emotionally rich performances.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058c04f481909deeac0271d961b6 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eb139c8190b76393e4a8be576b |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.